Supplementary Materials for: "Morphological reconstruction based on optical images for the seabed semi-buried polymetallic nodules: a fusion model of Elliptic Approximation and Contour Interweaving Methods"

1 Supplementary Materials for: Morphological reconstruction based on optical images for the seabed semi-buried polymetallic nodules: a fusion model of Elliptic Approximation and Contour Interweaving Methods Xiang Meng 1,2, Kehong Yang 2,*, Mingwei Wang 2,*, Qian Yu 1, Jihong Shang 2, and Ziyin Wu 2 1School of Geography and Ocean Science, Nanjing University, Nanjing 210093, China 2State Key Laboratory of Submarine Geoscience & Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China Abstract This supplementary document provides additional details and results supporting the main manuscript “Morphological reconstruction based on optical images for the seabed semi-buried polymetallic nodules: a fusion model of Elliptic Approximation and Contour Interweaving Methods.” It includes extended tables not included in the main publication. 1. Additional Tables Table S1. U-Net versus two reconstruction methods on each metric (boundaries region) Metric Method Maximum Minimum Mean Median Std Dev U-Net 95.66% 47.08% 81.62% 85.43% 0.1297 AR EAM 222.39% 79.69% 111.88% 105.06% 0.2585 CIM 106.39% 66.06% 95.52% 97.81% 0.0766 U-Net 52.92% 3.34% 18.38% 14.57% 0.1297 APC EAM 122.39% 0.97% 16.76% 8.35% 0.2293 CIM 33.94% 0.05% 5.94% 3.36% 0.0657 U-Net 93.83% 47.08% 81.11% 85.02% 0.1291 IoU EAM 95.29% 43.18% 83.33% 87.07% 0.1165 CIM 98.29% 64.56% 91.14% 94.03% 0.0767 U-Net 2.9101 0.1351 0.6699 0.3915 0.6162 CD EAM 5.0425 0.0325 0.5149 0.2146 0.8792 CIM 1.9361 0.0089 0.2112 0.0476 0.3574 *Corresponding author Email: ya[email protected]g.cn (K. Y.); [email protected] (M. W.) 2 Table S2. Binary shapes (BS) versus two reconstruction methods on each metric Metric Method Maximum Minimum Mean Median Std Dev U-Net 92.43% 20.7% 64.1% 64.5% 0.1586 AR EAM 162.67% 24.27% 110.29% 110.57% 0.1722 CIM 101.12% 14.44% 90.67% 92.94% 0.1183 U-Net 87.40% 7.57% 36.06% 35.5% 0.1633 APC EAM 75.73% 0.04% 14.34% 10.98% 0.1398 CIM 85.56% 0.06% 9.44% 7.06% 0.1175 U-Net 91.47% 12.35% 63.01% 63.23% 0.1613 IoU EAM 94.89% 23.79% 82.61% 84.45% 0.0996 CIM 98.85% 14.15% 88.9% 90.83% 0.1143 U-Net 9.1221 0.0919 1.3684 0.8611 1.5048 CD 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 metric (binary images) Metric Maximum Minimum Mean Median Std Dev 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