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Figure/Table detail
Water Body Extraction from Remote Sensing Images Based on Improved HarDNet-MSEG
GUO Huilin, XIE Yuanli, HU Lifa, YONG Jiale, LI Yunmei, SUN Shaoqi
Journal of Geo-information Science
, 2024, 26(
7
): 1745-1762. DOI:
10.12082/dqxxkx.2024.230656
Fig. 2
Different locations of HAM in the network
Other figure/table from this article
Fig. 1
Hybrid Attention Mechanism
Fig. 3
Overview of the Qinghai-Tibet Plateau
Tab. 1
Row and column numbers of acquired images
Tab. 2
Experimental environment
Fig. 4
Loss, MIoU, FWIoU, and PA curves of different models
Tab. 3
Training results of different models (%)
Fig. 5
Extraction results of different segmentation algorithms
Tab. 4
Training results of different semantic segmentation networks
Tab. 5
Results of water extraction by different methods
Fig. 6
Comparison of extraction results of different methods
Tab. 6
Extraction accuracy of HarDNet-MSEG-HAM1 on other datasets (%)
Tab. 7
Total area of lakes in the inland lake areas during the four time periods
Fig. 7
Changes in the area of lakes in the instream flow basin of the Tibetan Plateau from 2013 to 2022