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Supplementary Materials for: "Morphological reconstruction based on U-Net segmentation of optical images for the seabed semi-buried polymetallic nodules"

Author: Meng, Xiang
Publisher: Zenodo
DOI: 10.5281/zenodo.17333439
Source: https://zenodo.org/records/17333439/files/Supplementary_Materials.pdf
Supplemen a y Ma e ials o :
“Mo phological econs uc ion based on U-Ne
segmen a ion o op ical images o he seabed semi-
bu ied polyme allic nodules”
Xiang Meng 1,2, Kehong Yang 2,*, Mingwei Wang 2,*, Qian Yu 1, and Zinyin Wu 2
1School o Geog aphy and Ocean Science, Nanjing Uni e si y, Nanjing, 210093, China
2S a e Key Labo a o y o Subma ine Geoscience & Second Ins i u e o Oceanog aphy, Minis y o Na u al Resou ces, Hangzhou, 310012, China
Abs ac
This supplemen a y documen p o ides addi ional de ails and esul s suppo ing he main manusc ip
“Mo phological econs uc ion based on U-ne segmen a ion o op ical images o he seabed semi-
bu ied polyme allic nodules” . I includes ex ended ables no included in he main publica ion.
1. Addi ional Tables
Table S1. U-Ne e sus wo i ing me hods on each me ic (bounda ies egion).
Me ic
Me hod
Maximum
Minimum
Mean
Median
S d De
AR
U-Ne
95.66%
47.08%
81.62%
85.43%
0.1297
EAM
222.39%
79.69%
111.88%
105.06%
0.2585
CIM
106.39%
66.06%
95.52%
97.81%
0.0766
APC
U-Ne
52.92%
3.34%
18.38%
14.57%
0.1297
EAM
122.39%
0.97%
16.76%
8.35%
0.2293
CIM
33.94%
0.05%
5.94%
3.36%
0.0657
IoU
U-Ne
93.83%
47.08%
81.11%
85.02%
0.1291
EAM
95.29%
43.18%
83.33%
87.07%
0.1165
CIM
98.29%
64.56%
91.14%
94.03%
0.0767
CD
U-Ne
2.9101
0.1351
0.6699
0.3915
0.6162
EAM
5.0425
0.0325
0.5149
0.2146
0.8792
CIM
1.9361
0.0089
0.2112
0.0476
0.3574
∗
Co esponding au ho
Email add esses: ya[email p o ec ed] (Kehong Yang), wan[email p o ec ed] (Mingwei Wang)
2
Table S2. Bina y shapes (BS) e sus wo i ing me hods on each me ic.
Me ic
Me hod
Maximum
Minimum
Mean
Median
S d De
AR
BS
92.43%
20.7%
64.1%
64.5%
0.1586
EAM
162.67%
24.27%
110.29%
110.57%
0.1722
CIM
101.12%
14.44%
90.67%
92.94%
0.1183
APC
BS
87.40%
7.57%
36.06%
35.5%
0.1633
EAM
75.73%
0.04%
14.34%
10.98%
0.1398
CIM
85.56%
0.06%
9.44%
7.06%
0.1175
IoU
BS
91.47%
12.35%
63.01%
63.23%
0.1613
EAM
94.89%
23.79%
82.61%
84.45%
0.0996
CIM
98.85%
14.15%
88.9%
90.83%
0.1143
CD
BS
9.1221
0.0919
1.3684
0.8611
1.5048
EAM
6.3361
0.0403
0.6286
0.3079
0.8369
CIM
8.7895
0.0065
0.4299
0.0863
1.0847
Table S3. EA-CIM on each me ic (bina y images).
Me i c
Maximum
Minimum
Mean
Median
S d De
AR
106.62%
24.27%
93.93%
95.47%
0.1006
APC
75.73%
0.06%
6.87%
4.68%
0.0952
IoU
98.85%
23.79%
90.21%
92.1%
0.0927
CD
6.3361
0.0065
0.2964
0.082
0.7501