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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 48, NO. 4, APRIL 2010 1777
Measu emen o he Elec omagne ic Field
Backsca e ed by a F ac al Su ace o he
Ve i ica ion o Elec omagne ic Sca e ing Models
Giuseppe Ruello, Membe , IEEE, Pablo Blanco-Sánchez, An onio Iodice, Senio Membe , IEEE,
Jo di J. Mallo quí, Membe , IEEE, Daniele Riccio, Senio Membe , IEEE,
An oni B oque as, Membe , IEEE, and Gio gio F ancesche i, Li e Fellow, IEEE
Abs ac —F ac al geome y is widely accep ed as an e icien
heo y o he cha ac e iza ion o na u al su aces; he oppo -
uni y o desc ibing i egula i y o na u al su aces in e ms
o ew ac al pa ame e s makes i s use in di ec and in e se
elec omagne ic (EM) sca e ing heo ies highly desi able. In his
pape , we p esen an inno a i e p ocedu e o manu ac u ing
ac al su aces and o measu ing hei sca e ing p ope ies.
A ca dboa d–aluminum ac al su ace was buil as a ep e-
sen a ion o a Weies ass–Mandelb o ac al p ocess; he EM
ield sca e ed om i was measu ed in an anechoic chambe . A
monos a ic ada like con igu a ion was employed. Measu emen
esul s we e compa ed o Ki chho app oxima ion and small
pe u ba ion me hod closed- o m esul s ha we e analy ically
ob ained by employing he ac ional B ownian mo ion o model
he su ace shape. Ma ching and disc epancies be ween heo ies
and measu emen s a e hen discussed. Finally, ac al and classical
su ace models a e compa ed as a as hei use in he EM
sca e ing is conce ned.
Index Te ms—Elec omagne ic sca e ing by ough su aces,
ac als.
I. INTRODUCTION
ARELIABLE heo y on he elec omagne ic (EM) sca e -
ing om na u al su aces equi es an e icien and accu-
a e quan i a i e desc ip ion o he na u al su ace shapes. The
use o ac al geome y o his pu pose is s ongly sugges ed
because i accoun s o he complex beha io o na u e by
means o simple models.
Elegan me hods o he e alua ion o he EM ield sca e ed
om ac al su aces we e ecen ly de eloped wi h encou aging
esul s [1], [2]. So a , no sca e ing measu emen campaigns
on su aces wi h known ac al pa ame e s we e ca ied ou .
Mos o he measu emen campaigns p esen ed in he li e a u e
Manusc ip ecei ed Sep embe 5, 2007; e ised June 19, 2008,
Decembe 12, 2008, and July 3, 2009. Fi s published Decembe 22, 2009;
cu en e sion published Ma ch 24, 2010. This wo k was suppo ed by he
Spanish MCYT and EU FEDER unds unde P ojec TEC2008-06764-C02-01.
G. Ruello, A. Iodice, D. Riccio, and G. F ancesche i a e wi h he Depa -
men o Elec onic and Telecommunica ion Enginee ing, Uni e si y o Naples
“Fede ico II,” 80125 Naples, I aly (e-mail: [email p o ec ed]; [email p o ec ed];
[email p o ec ed]; [email p o ec ed]).
P. Blanco-Sánchez, J. J. Mallo quí, and A. B oque as a e wi h he Depa -
men o Signal Theo y and Communica ions, School o Telecommunica ion
Enginee ing, Uni e si a Poli ecnica de Ca alunya, 08034 Ba celona, Spain
(e-mail: [email p o ec ed]; [email p o ec ed]; [email p o ec ed]).
Colo e sions o one o mo e o he igu es in his pape a e a ailable online
a h p://ieeexplo e.ieee.o g.
Digi al Objec Iden i ie 10.1109/TGRS.2009.2036007
we e pe o med on a i icially cons uc ed Gaussian su aces
[3]–[5] o on na u al su aces desc ibed by means o non ac al
pa ame e s like he co ela ion leng h and s anda d de ia ion
[1]. Howe e , al eady in he 1970s, i was known ha classical
Gaussian pa ame e s es ima ed om samples o na u al su -
aces depend on he size o he conside ed su aces [6], [7]; his
is conside ed as a majo mo i a ion o concei ing mo e app o-
p ia e models o desc ibe na u al su aces. In 1973, Beckmann
[6] exp essed he need o a non-Gaussian desc ip ion o na u al
su aces o elec omagne ic sca e ing e alua ion pu poses. He
poin ed ou ha he p obabili y densi y unc ion (pd ) o a
na u al su ace can also be desc ibed by a Gaussian model,
bu he pd could be nonc i ical o i s sca e ing p ope ies. In
1988, Wu e al. [8] ag eed ha non-Gaussian p ocesses would
be necessa y o na u al su ace desc ip ion. The in oduc ion o
he ac al geome y p o ided a powe ul ins umen o com-
p ehending and quan i a i ely desc ibing he i egula shapes
o na u e. As a ma e o ac , ac al models accoun o he
nons a iona y and sel -a ine cha ac e is ics o ac ual p ocesses,
so ha in he las decades, se e al esea che s in ensi ely used a
ac al ep esen a ion o na u al su aces (e.g., [1], [9]–[17] a e
a small bu signi ican pa o he huge li e a u e on he opic).
The use o ac als in emo e sensing is highly desi able, also
because he na u al su aces can be desc ibed by employing jus
ew pa ame e s, and his is e y a ac i e o model-in e sion
pu poses [18], [19].
In his pape , we p esen an inno a i e measu emen cam-
paign in a con olled en i onmen ca ied ou o es , in
monos a ic con igu a ion, he heo ies on he elec omagne ic
sca e ing om ac al su aces.
In Sec ion II, we in oduce he undamen als o ac al mod-
els, and we ecall he main concep s which inspi ed he su ace
cons uc ion. In pa icula , we de ine he ac ional B ownian
mo ion ( Bm), an e e ywhe e con inuous bu nowhe e di e -
en iable p ocess, which is he mos sui able model o desc ibe
na u al su aces, and i is cu en ly used in EM sca e ing
heo ies. Then, in o de o syn hesize an Bm ac al su ace, we
in oduce he Weie s ass–Mandelb o unc ion (WM) whose
spec um p o ides a eliable app oxima ion o an Bm p ocess
spec um. The alues o he ac al pa ame e s chosen o he
nume ical syn hesis o he su ace a e consis en wi h ypical
na u al su aces. Then, we p esen he p ocedu e o build he
su ace as a supe posi ion o a ca dboa d s uc u e, ep esen ing
he low equencies, and w inkled aluminum oils, accoun -
ing o he high- equency su ace componen s. Employed
0196-2892/$26.00 © 2009 IEEE
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1778 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 48, NO. 4, APRIL 2010
ma e ials gua an eed o p oduce a cos -e ec i e, po able, and
eliable ac al su ace. The co espondence be ween syn he-
sized and buil -su ace ac al pa ame e s was checked by
means o app op ia e op ical measu emen s [20].
In Sec ion III, we ecall how he Bm su ace desc ip ion
can be used in conjunc ion wi h he Ki chho app oxima ion
(KA) and he small pe u ba ion me hod (SPM) [1], in o de o
p o ide he second-o de s a is ics o he sca e ed ield [21],
[22]. The choice o he KA and he SPM is ela ed o he
ac ha hese a e he mos used echniques in emo e-sensing
applica ions: om SAR da a in e p e a ion [23] o e ie ing
algo i hms [18], [19].
Sec ion IV is de o ed o desc ibe he p ocedu e and he
implemen a ion o he EM sca e ing measu emen s, pe o med
in he anechoic chambe o he Uni e si a Poli ècnica de
Ca alunya (UPC). A couple o X-band ho n an ennas was used
o illumina e he buil su ace and measu e he ield backsca -
e ed om i . The buil su ace was moun ed on a o o , whose
mo emen s allowed he acqui ing o a su icien numbe o
samples a di e en incidence angles (incidence angles in he
ange o 0◦−70◦we e explo ed). Bo h ho izon al- and e ical-
pola ized sca e ed ields we e measu ed. The calib a ion p o-
cedu e pe o med wi h he use o a ihed al co ne e lec o is
also p esen ed.
In Sec ion V, we show he ob ained esul s. Calib a ed
measu ed da a a e p esen ed as a unc ion o he incidence
angle; hey a e hen compa ed wi h he heo e ical esul s in
Sec ion III. Ma ching and di e ences a e deeply discussed. In
addi ion, a discussion on he main ad an ages o ac als wi h
espec o classical models in he EM sca e ing me hods is
p esen ed.
The aim o Sec ion VI is o summa ize he a ionale, ap-
p oach, implemen a ion, and esul s ela ed wi h he p esen -
ed wo k.
II. SURFACE CONSTRUCTION
In his sec ion, we ecall he basic p inciples o he ac al
geome y, and we p o ide he a ionale o he syn hesis, he
building, and he alida ion o he ac al su ace employed
in ou expe imen s. A de ailed desc ip ion o hese opics is
p o ided in [20].
A. F ac al Geome y
The Bm is widely ecognized as he mos sui able ac al
p ocess o model na u al su aces. I allows he desc ibing o
he su ace shape in e ms o only wo pa ame e s, he di-
mensionless Hu s coe icien ,H, and he inc emen al s anda d
de ia ion a uni a y dis ance,s, measu ed in m(1−H).An Bm
p ocess ep esen s a s ochas ic su ace z(x, y)i , o e e y x,y,
x, and y, he pd o i s inc emen s is Gaussian wi h ze o mean
and s anda d de ia ion sτH
P z(x, y)−z(x,y)<¯
ζ
=1
√2πsτH
¯
ζ
−∞
exp −ζ2
2s2τ2Hdζ (1)
whe e τis he dis ance be ween x,yand x,y.
I can be demons a ed [13], [24] ha a p ocess sa is ying (1)
exis s i 0<H<1, and ha (wi h p obabili y one) any Bm
sample su ace has a ac al dimension D=3−H. Fu he -
mo e, i we conside he inc emen s a dis ance τ=1m, hei
s anda d de ia ion is s. The e o e, he spa ame e ep esen s
an index o oughness. The highe i s alue, he oughe he
su ace [1].
E alua ion o he Bm powe spec um dese es special ca e
due o he nons a iona i y o he su ace. Space- equency and
scale- equency app oaches a e equi ed in o de o exp ess he
powe spec al densi y o he su ace. Bo h hese app oaches
lead o a powe -law spec um [1], [13]
W(k)=S0k−α(2)
whe e S0and αa e pa ame e s depending on Hand s[1] and k
is he spa ial wa enumbe .
The Bm is a egula s ochas ic p ocess, whose syn hesis
is no a s aigh o wa d ask, and i is usually accomplished
in e ms o app op ia e unc ions, as de ailed in he ollowing
sec ion.
B. Syn hesis
The syn hesis o Bm p ocesses can be ob ained ia displaced
in e pola ion [25], spec al syn hesis [1], wa ele [25] me hods,
and so on. In his pape , we use a WM unc ion, which is
a p edic able p ocess ha allows an easy and con ollable
modeling o de e minis ic and s ochas ic p ocesses as a unc ion
o ew physical pa ame e s.
A ma hema ical WM is a supe posi ion o in ini e sinusoidal
ones wi h pe iods spaced by an i a ional ac o . Na u al
su aces exhibi a ac al beha io in a wide bu ini e ange
o scales, so a physical WM [1] can be ob ained by using a
2-D band-limi ed (i.e., wi h a ini e numbe o ones, M)WM
unc ion (x, y)
(x, y)=B
M−1
n=0
Cnν−Hn sin(k0νn(xcos ψn+ysin ψn)+φn)
(3)
whe e Bis an ampli ude scaling ac o ; νis he i a ional
equency scaling ac o ; Cn,ψn, and φna e andom a iables,
accoun ing o ampli ude, di ec ion, and phase beha io o
each one, espec i ely [1]; and k0is he undamen al one
wa enumbe . I was shown ha he WM can be conside ed as a
spec al sampled e sion o an Bm p ocess wi h he same ac-
al dimension and wi h S0 ela ed o he WM pa ame e s by [1]
B2=S0
2πH k−2H
0(νH−ν−H).(4)
The syn hesis o a single su ace calls o he se ing o
i e pa ame e s: H,B,k0,kM−1, and ν. Fo he su ace
conside ed in his pape , hei alues we e chosen acco ding o
he ollowing a ionale.
1) The H alue was se a 0.7, because na u al su aces
ypically hold H alues anging om 0.6 o 0.9 [24].
2) The B alue was se a 0.011 m, in acco dance o ypical
alues o na u al su aces. This choice co esponds o an
s alue o 0.063 m1−H, in acco dance wi h ypical na u al
alues [24].
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RUELLO e al.: MEASUREMENT OF THE EM FIELD BACKSCATTERED BY A FRACTAL SURFACE 1779
TABLE I
SIMULATED SURFACE PARAMETERS
3) The lowes oughness scale k0 ha con ibu es o he
sca e ed ield o ma ion depends on he illumina ed a ea
and he anechoic chambe dimensions. In his pape , he
undamen al one wa enumbe is o 5.71 m−1.
4) The highes oughness scale kM−1 ha con ibu es o he
sca e ed ield o ma ion depends on he inciden wa e-
leng h λ. Scales lowe han a ac ion o he wa eleng h
do no con ibu e o he ield o ma ion. We ixed λ=
3cm as a e e ence wa eleng h, so ha eliable mea-
su emen s could be pe o med a equencies included in
he X-band. The e o e, kM−1= 1943.8m−1, ha co e-
sponds o a su ace one wa eleng h o 3.2 mm, which is
abou λ/10.
5) The ν aluewasse a 0.5e, as a adeo be ween he Bm
sampling a e and he memo y cons ain s. Such a choice
leads o a numbe o ones o M=20[20].
In Table I, he chosen nume ical alues a e summa ized, and
a ep esen a ion o he syn hesized su ace is shown in Fig. 1(a).
C. Manu ac u ing
The su ace was buil acco ding o a wo-s ep app oach.
The la ges spa ial scale oughness ( om me e s ill 0.5 cm)
was assembled as supe posi ion o ca dboa d laye s shaped
acco ding o he syn hesized su ace-le el cu es wi h a s ep
o 0.5 cm (i.e., λ/6) [see Fig. 1(b)]. The choice o ca dboa d
allowed an easy manu ac u ing and po abili y o he su ace.
Once such a 1.5 m ×1.5 m (i.e., 50 λ×50 λ) mac oscopic
s uc u e was buil , we added he mic oscopic oughness by
supe posing wo laye s o aluminum oils [see Fig. 1(c)]. The
i s laye was glued di ec ly o he ca dboa d wi hou co u-
ga ion. The second was manually w inkled and glued on he
op. The in ensi y o he co uga ions was no p econ olled
bu e alua ed ia lase scansion. Such a p ocedu e allowed he
conside ing o he buil su ace as pe ec e lec o . In Fig. 1(d),
we show a op iew o he buil su ace. No e ha he aluminum
oils co e up he seams, a oiding he possibili y ha hey could
bias he esul s wi h hei non ac al s aigh edges. The chosen
su ace shape is ci cula , wi h a 1.5-m diame e , in o de o
minimize he bo de e ec s [20].
D. Valida ion
A high-p ecision lase (wi h esolu ion o 0.7 mm) was
employed o p o ide an accu a e analysis o he buil -su ace
p ope ies. The measu ed da a we e p ocessed in bo h he
spa ial and spec al domains, leading o he esul ha he ac al
su ace holds he p esc ibed syn hesized pa ame e s [20] wi hin
he ange o scales o in e es o elec omagne ic sca e ing
expe imen s [1]. The ob ained measu emen s showed ha he
aluminum laye s did no signi ican ly change he su ace ough-
ness a he scales o in e es o he elec omagne ic sca e ing.
Fig. 1. (a) Syn hesized su ace. (b) Ca dboa d opog aphy. (c) De ail on he
aluminum laye s. (d) Top iew o he buil su ace.
III. ELECTROMAGNETIC METHODS
In his pape , we ocus ou a en ion on me hods ha p o ide
simple and e ec i e closed- o m solu ions, because hei use is
o in e es in emo e sensing applica ions [1], [18], [19], [26].
In pa icula , we ocus ou analysis on he mos ly used elec o-
magne ic me hods, he KA and he SPM. These me hods a e
in ensi ely used in emo e sensing applica ions o de eloping
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1780 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 48, NO. 4, APRIL 2010
SAR in e p e a ion ools [23] as well as in e se me hods o
e ie ing physical pa ame e s in emo e sensing applica ions
[18], [19].
The in oduc ion o he Bm ac al p ocess o su ace p o ile
desc ip ion pu poses allowed he de elopmen o imp o ed
e sions o hese elec omagne ic sca e ing me hods [1], [2],
[21], [22], whose esul s a e ecalled in he ollowing.
A. KA Fo mula ion
The PO solu ion o he KA leads o exp ess he sca e ed
powe densi y Sias a unc ion o he su ace pa ame e s [1], [2]
Si∝
∞
0
J0(ηxyτ)exp−1
2η2
zs2τ2Hτdτ (5)
whe e J0is he ze o h-o de Bessel unc ion and
η=ki−ks=(ηx,η
y,η
z), whe e kiand ksa e he inciden
and sca e ed wa e ec o s, espec i ely, ηxy =η2
x+η2
y.The
su ace oughness, exp essed in e ms o he ac al pa ame e s
sand H, as well as he incidence angle a e accoun ed o in
he a gumen s o he Bessel and he exponen ial unc ions. A
comple e ea ise o he in eg al e alua ion is well beyond he
goals o his pape . In li e a u e, closed- o m solu ions can be
ob ained ia asymp o ic expansions, as de ailed in [1], [2].
B. SPM Fo mula ion
The SPM o mula ion p o ides he ada c oss sec ion as a
unc ion o he su ace spec um. I we use he Bm spec um
in he exp ession o he i s -o de SPM ada c oss sec ion,
we ob ain he ada c oss sec ion as a unc ion o he spec al
su ace pa ame e s [1], [2], [22]
σo
pp =4k4cos4ϑ|βpp|2S0
π(2ksin ϑ)α(6)
wi h βpp aking in o accoun he pola iza ion issue, and S0and
αa e he Bm powe -law spec um pa ame e s [1], [2].
C. Validi y Limi s
The de ini ion o he alidi y limi s o elec omagne ic sca -
e ing om ac al su aces is s ill an open p oblem. This is
mainly due o he ac ha he Bm is no di e en iable, and i s
use in he sca e ing e alua ion equi es a physical-based band-
limi ing p ocedu e. Such an ope a ion in luences he de ini ion
o he alidi y limi s. So a , he alidi y limi s a e e alua ed
ia ela ionships be ween ac al and classical pa ame e s, as
epo ed in [1], [2]. Howe e , he equi alence be ween clas-
sical and ac al pa ame e s equi es sub le heo e ical issues.
To he bes o ou knowledge, no conclusi e esul s exis in
he a ailable li e a u e. In a ecen pape [26], an empi ical
condi ion was de ined in e ms o he signi ican slope ss( he
a io be ween he oo mean squa e (RMS) su ace heigh and
he wa eleng h o he dominan spec al peak). Acco ding o
[26], o nea -nadi incidence (incidence angles lowe han 30◦),
he PO app oach is applicable i ss<0.037 cos3θ.Fo he
su ace employed in ou expe imen , he condi ion holds o
e e y incidence angle less han 30◦. Despi e he ac ha i does
Fig. 2. (a) Top iew o he anechoic chambe . A iden i ies he an enna
posi ion, B iden i ies he su ace posi ion. Linea dimensions a e exp essed in
cen ime e s. (b) Image o he ansmi ing and ecei ing an ennas.
no cons i u e a conclusi e p oo , his esul sugges s ha , a
leas o nea -nadi angles, alidi y limi s a e nea ly ul illed.
A comple e discussion on his opic equi es a e o mula ion
o he alidi y limi s in e ms o ac al pa ame e s, bu i goes
beyond he goals o his pape and i is demanded o a u u e
discussion.
IV. ELECTROMAGNETIC MEASUREMENT SETUP
A. Geome y
The ac al su ace, buil in acco dance wi h he p ocedu e
o Sec ion II, was used o alida e he EM sca e ing me hods
p esen ed in Sec ion III. In his sec ion, we p esen he p oce-
du e o measu e he EM ield backsca e ed om his su ace.
The expe imen s we e pe o med in he anechoic chambe a
UPC. A op iew o he measu emen geome y is shown
in Fig. 2(a).
Two ho n an ennas, one o ansmi ing and one o ecei -
ing [see Fig. 2(b)], we e placed in a ixed posi ion [see he A
poin in Fig. 2(a)]. The su ace was moun ed in posi ion B [see
Fig. 2(a)] a a dis ance o 5.75 m om he an ennas, on a oll-
o e azimu h posi ioning sys em ha allows o a ions bo h in
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RUELLO e al.: MEASUREMENT OF THE EM FIELD BACKSCATTERED BY A FRACTAL SURFACE 1781
Fig. 3. Measu emen geome y. The o o allows he buil -su ace o a ion
a ound he (a) z-and(b)x-axes.
he (y,z)plane a ound he x-axis and in he (x, y)plane along
he z-axis, in acco dance wi h he geome y o Fig. 3. The spo
size o he illumina ing beam co e s he whole su ace.
The o a ions a ound he z-axis allowed he acquisi ion o
sca e ed ield samples a di e en incidence angles θ[see
Figs. 2 and 3(a)]. A a gi en incidence angle, he o a ions
a ound he x-axis gua an ee he acquisi ion o many indepen-
den sca e ed ield samples.
B. Measu emen P ocedu e
Fo each su ace (θ,φ)posi ion, he X-band an ennas ac-
qui ed 401 samples, uni o mly spaced wi hin he equency
ange om 7 o 12 GHz. App op ia e ansmi ing and ecei ing
an enna o a ions p o ided he acquisi ion o HH- and VV-
pola ized ields.
The ield backsca e ed om he ac al su ace was mea-
su ed using an HP8510 ne wo k analyze o θ anging om
0◦ o 70◦wi ha2
◦s ep. Fo each θ alue, 72 independen ield
alues we e acqui ed by o a ing he su ace wi h φs eps o 5◦.
In ac , he ac al su ace unde analysis is a single ealiza ion
o an Bm s ochas ic p ocess. I can be seen as a cell composed
o mul iple sca e e s. By changing he illumina ion angle, he
ela i e dis ibu ion o he sca e e s changes, so ha wo acqui-
si ions a e di e en . The o a ion o a esolu ion elemen by he
angle φmo es he sca e ing cen e s. The ange componen o
he displacemen causes a sligh ly di e en phase shi o each
sca e ing cen e , esul ing in signal deco ela ion. We choose
aφs ep o 5◦, in acco dance wi h he esul s ound in he
li e a u e conce ning he signal deco ela ion o in e e ome -
ic applica ions [27], [28]. In [27], he co ela ion coe icien
Fig. 4. Compa ison be ween (do s) da a, (dashed line) KA, and (solid line)
SPM o (a) VV and (b) HH pola iza ions.
be ween he ield sca e ed by a su ace and he ield sca e ed
by he same su ace o a ed by an angle φis compu ed as
ρφ=1−2(sin θ)|φ|
λ,i 2(sin θ)|φ|
λ<1
0,o he wise (7)
whe e is he an enna–su ace dis ance. In ac , by using
in his exp ession φ=5
◦, conside ing he alues o λand
θbelonging o he in e als de ined ea lie and conside ing
=5.75 m (see Fig. 2), we ob ain a null alue o he co ela ion
coe icien .
C. Calib a ion
The calib a ion is pe o med ia a s anda d wo-s ep p oce-
du e [29], [30]. Fi s , he powe Pmbacksca e ed by he buil
su ace, placed a a dis ance m om he an enna, is measu ed
o ob ain he non-calib a ed da a
Pm=P G
4π 2
m
σm
4π 2
m
K. (8)
I depends on he an enna gain G, he ansmi ed powe P ,
and he en i onmen al e ec K. Then, he su ace is eplaced
by a pe ec ly conduc ing ihed al co ne e lec o , and he
ecei ed powe P i is measu ed a a dis ance i
P i =P G
4π 2
i
σ i
4π 2
i
K. (9)
The e o e, he calib a ed ada c oss sec ion σmis ob-
ained by he known ihed al ada c oss sec ion σ i as
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1782 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 48, NO. 4, APRIL 2010
Fig. 5. VV pola iza ion. Compa ison be ween (do s) da a, (dashed line) KA,
and (solid line) SPM as a unc ion o he equency o incidence angle o
(a) 15◦, (b) 30◦,and(c)45
◦.
ollows:
σm= 4
m
4
i
Pm
P i
σ i.(10)
Based on p e ious measu emen campaigns, he measu e-
men expe imen al e o is expec ed o be lowe han 1 dB
[31]–[33].
V. R ESULTS
In his sec ion, we p esen a compa ison be ween he
da a measu ed in acco dance wi h he p ocedu e desc ibed in
Sec ion IV and he esul s ob ained by employing he heo e ical
me hods ecalled in Sec ion III. The se o acqui ed sca e ing
da a allows he in es iga ion o he p ope ies o he backsca -
e ed elec omagne ic ield as a unc ion o he incidence angle
and o he elec omagne ic equency.
A. O e all Compa ison
In Fig. 4(a), a compa ison be ween measu ed da a (do s),
SPM (solid line), and KA (dashed line) is shown o VV
pola iza ion. As s a ed in Sec ion III, bo h heo e ical me hods
make use o he Bm p ocess o he su ace desc ip ion. Each
do is ep esen a i e o he alue a e aged o e all he φangles
and he equency-band measu emen s. The heo e ical cu es
a e also a e aged in he conside ed band. No e ha a low
incidence angles (up o abou 20◦), KA p edic ions well ma ch
Fig. 6. HH pola iza ion. Compa ison be ween (do s) da a, (dashed line) KA,
and (solid line) SPM as a unc ion o he equency o incidence angle o
(a) 15◦, (b) 30◦,and(c)45
◦.
TABLE II
VARIANCE AND CORRELATION LENGTH VALUES AS A
FUNCTION OF THE OBSERVED AREA
he expe imen al da a; a la ge incidences, we expec ha
KA alidi y limi s a e no sa is ied, and he elec omagne ic
me hod accu acy dec eases. The SPM seems o be able o
ollow he ield beha io o in e media e incidence angles, in
acco dance wi h i s alidi y limi s [34]. Simila conclusions
can be in e ed by analysis o Fig. 4(b) o HH pola iza ion.
Anyway, a comple e discussion on he me hod alidi y calls o
a e o mula ion o limi s in e ms o ac al pa ame e s.
B. F equency Dependence
The ield sca e ed by a su ace is s ongly dependen on
he EM inciden wa eleng h; hence, an accu a e s udy on he
dependence o he measu ed da a on he equency is equi ed
in o de o e i y ha he pe o med a e ages make sense.
The e o e, we in es iga ed he EM sca e ed ield o Fig. 4 as
a unc ion o he ield equency o ixed incidence angles,
(see Figs. 5 and 6, espec i ely) o VV and HH pola iza ions.
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RUELLO e al.: MEASUREMENT OF THE EM FIELD BACKSCATTERED BY A FRACTAL SURFACE 1783
Fig. 7. VV pola iza ion. Compa ison be ween (do s) expe imen al esul s and he KA esul s in conjunc ion wi h (solid line) Bm, (long dashed line) Ga-Ga,
and (sho dashed line) Ga-Exp o as ollows. (a) σ=1.39 cm; l=17.3cm. (b) σ=1.3cm; l=9.1cm. (c) σ=1.01 cm; l=5.9cm. (d) σ=0.7cm;
l=3.3cm.
In Figs. 5(a) and 6(a), we show a compa ison be ween
measu ed da a (do s), SPM (solid line), and KA (dashed line)
as a unc ion o he ield equency, o θ ixed a 15◦.A his
incidence angle, he e is a good ma ching be ween measu e-
men da a and p edic ion p o ided by bo h heo e ical models,
see Fig. 4. Apa om small andom oscilla ions, measu ed
da a show a equency beha io simila o hose o he heo-
e ical cu es. Such a esul con i ms ha a e aging da a o e
he employed equency ange is meaning ul o compa a i e
pu poses.
In Figs. 5(b) and 6(b), he θ alue is ixed a 30◦. We s ill no e
ha he equency dis ibu ion o he acqui ed ield alues is
almos linea wi h a law simila o ha o he heo e ical me hod
esul s, again jus i ying a e aging da a o e he employed e-
quency ange o compa ison pu poses. Fo he highes equen-
cies, we can no e a wo s ag eemen be ween he heo e ical
models p edic ions and he expe imen al da a esul s, due o he
ac ha he buil -su ace oughness is sca cely con olled a he
smalles spa ial scales, which a e in ol ed in he sca e ing a
he highes equencies. In addi ion, a he highes equencies,
he elec omagne ic me hods a e no comple ely adequa e o
model he obse ed phenomenon, because hey do no accoun
o shadow and mul iple- e lec ions phenomena. The educed
equency band whe e his beha io occu s does no impai he
compa ison esul s.
In Figs. 5(c) and 6(c), he θ alue is ixed a 45◦, in co e-
spondence o a signi ican mean di e ence be ween da a and
expe imen s, see Fig. 4. Again, he equency dis ibu ion o
he acqui ed ield alues is almos linea wi h a law simila o
ha o he heo e ical me hod esul s, jus i ying a e aging da a
o e he employed equency ange o compa ison pu poses.
So a , we limi ed ou a en ion on SPM and KA based on
he Bm su ace desc ip ion. Despi e i is widely accep ed ha
na u al su aces a e e icien ly desc ibed by ac al models, we
ind i use ul o compa e ac al and classical me hods. The
esul s o such a compa ison can d i e he choice o he su ace
model o be employed in emo e sensing applica ions.
C. Gaussian Ve sus F ac al Su ace Models
In he ollowing, we compa e he expe imen al da a wi h he
esul s o he KA and SPM elec omagne ic me hods ob ained
by employing Bm and classical su ace models, i.e., a Gaussian
su ace pd , wi h Gaussian (Ga-Ga) o exponen ial (Ga-Exp)
co ela ion unc ion.
In o de o pe o m he compa ison, i is necessa y o de-
e mine he co ela ion leng h and he su ace heigh a iance.
The e o e, we es ima ed hese pa ame e s on he la ges possi-
ble squa e a ea (90 ×90 cm2)o he buil su ace: The ob ained
esul s a e p esen ed in he i s ow o Table II. In Figs. 7(a)
and 8(a), he compa ison be ween he measu ed sca e ed ields
(do s) and he heo e ical esul s ob ained by using Bm (solid
line), Ga-Ga (long dashed line) and Ga-Exp (sho dashed
line) su ace models in he KA is p o ided o VV and HH
pola iza ions, espec i ely. In Figs. 9(a) and 10(a), he same
analysis is shown o he SPM me hod.
I is e iden ha he Bm su ace model be e ma ches he
da a wi h espec o classical models, a leas o small and
mode a e incidence angles. The only excep ion ega ds he
HH pola iza ion o he SPM case. The di e ences be ween
ac al and classical sca e ing model esul s a e su p isingly
wide, and hey lead o hink ha he used classical pa ame e
alues a e no ep esen a i e o he conside ed su ace. The e-
o e, we e alua ed he classical pa ame e alues land σby
conside ing smalle po ions o he buil su ace (see om
he second o he ou h ows o Table II), and we compa ed
he co esponden e alua ed EM sca e ed ield wi h he mea-
su ed da a, as shown in Figs. 7(b)–(d), 8(b)–(d), 9(b)–(d), and
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1784 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 48, NO. 4, APRIL 2010
Fig. 8. HH pola iza ion. Compa ison be ween (do s) expe imen al esul s and he KA esul s in conjunc ion wi h (solid line) Bm, (long dashed line) Ga-Ga,
and (sho dashed line) Ga-Exp o as ollows. (a) σ=1.39 cm; l=17.3cm. (b) σ=1.3cm; l=9.1cm. (c) σ=1.01 cm; l=5.9cm. (d) σ=0.7cm;
l=3.3cm.
Fig. 9. VV pola iza ion. Compa ison be ween (do s) expe imen al esul s and he SPM esul s in conjunc ion wi h (solid line) Bm, (long dashed line) Ga-Ga,
and (sho dashed line) Ga-Exp o as ollows. (a) σ=1.39 cm; l=17.3cm. (b) σ=1.3cm; l=9.1cm. (c) σ=1.01 cm; l=5.9cm. (d) σ=0.7cm;
l=3.3cm.
10(b)–(d). As expec ed, o classical su ace desc ip ions, land
σ alues depend on he dimension o he su ace used o
e alua e hem. Figs. 7–10 show ha he a ia ions o he land
σ alues s ongly a ec he e alua ion o he sca e ed ield.
As a d ama ic consequence, his s ongly educes eliabili y
o esul s ob ained by employing classical sca e ing heo ies
and hei use o in e se p oblems in emo e sensing applica-
ions. No e ha we can ob ain a easonable ag eemen be ween
measu emen s and da a by app op ia ely choosing he Gaussian
pa ame e s σand l: o ins ance, in he conside ed case s udy,
he KA wi h Ga-Ga su ace model wi h σ=1.3cm and
l=9.1cm allows he ob aining o a a he good ag eemen
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RUELLO e al.: MEASUREMENT OF THE EM FIELD BACKSCATTERED BY A FRACTAL SURFACE 1785
Fig. 10. HH pola iza ion. Compa ison be ween (do s) expe imen al esul s and he SPM esul s in conjunc ion wi h (solid line) Bm, (long dashed line)Ga-Ga,
and (sho dashed line)Ga-Exp o as ollows. (a) σ=1.39 cm; l=17.3cm. (b) σ=1.3cm; l=9.1cm. (c) σ=1.01 cm; l=5.9cm. (d) σ=0.7cm;
l=3.3cm.
wi h measu emen s o angles lowe han 20◦, [see Figs. 7(b)
and 8(b)]. Howe e , he σand l alues ha gua an ee his
ag eemen a e no ep esen a i e o he su ace.
The ob ained esul s lead o he conclusion ha ac al mod-
els a e mo e app op ia e han classical ones, o he ollowing
easons: 1) he elec omagne ic esul s a e close o expe imen-
al da a, and 2) he ac al pa ame e s be e desc ibe he su -
aces because hey a e in insic pa ame e s, i.e., hei e alua ion
does no depend on he obse e . Bo h esul s sugges he use
o ac als o he elec omagne ic sca e ing e alua ion as well
as o in e se emo e-sensing p oblems.
VI. CONCLUSION
In his pape , we p esen ed an inno a i e measu emen p oce-
du e o alida ing he heo e ical me hods o e alua ion o he
EM ield sca e ed om na u al su aces. To his aim, a ac al
su ace wi h assigned pa ame e s was buil as a supe posi ion
o ca dboa d and aluminum laye s, as p esen ed in a ecen
pape . The cha ac e is ics o such a su ace we e e i ied by
measu ing i wi h an op ical high-p ecision ins umen . The
su ace was moun ed on a o o in an anechoic chambe , and
he EM ield backsca e ed om i was measu ed a di e en
incidence angles. P oblems ela ed wi h he acquisi ion o he
ield alues we e add essed and sol ed.
The compa ison be ween he ob ained calib a ed da a and
he heo e ical esul s de i ing om he Bm use in he KA
and SPM me hods shows ma ching and disc epancies be ween
heo e ical p edic ion and expe imen al esul s. In pa icula , a
low incidence angles, he KA appea s o be he mos app op ia e
me hod o p edic he sca e ed ield, whe eas a in e media e
angles, he SPM be e ma ches he da a, as p edic ed by heo y.
In addi ion, p o ided ha he na u al su aces a e well de-
sc ibed by ac al laws, we explo ed he possibili y ha classical
me hods elying on he Gaussian su ace desc ip ion could
be used o he e alua ion o he ield sca e ed om na u al
su aces. The e o e, we measu ed he s anda d de ia ion σand
he co ela ion leng h lon su ace po ions wi h di e en sizes,
and we compa ed he p edic ed EM sca e ed ield wi h da a.
The ob ained σand l alues and, as a consequence, he o e-
cas ed sca e ed ield alues u n ou o depend on he chosen
dimension. I means ha he classical σand lpa ame e s a e no
in insic desc ip o s o he su ace. The ob ained expe imen al
esul s lead o he conclusion ha he use o ac al su aces
in he EM sca e ing heo ies p o ides wo main ad an ages:
1) he esul s a e close o expe imen al da a, and 2) he su ace
is e icien ly desc ibed in e ms o only wo in insic pa ame-
e s, whose alue does no depend on he obse e .
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