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Cheng Ding, Liguo Weng, Min Xia and Haifeng Lin
Building and road extraction from remote sensing images is of great significance to urban planning. At present, most of building and road extraction models adopt deep learning semantic segmentation method. However, the existing semantic segmentation meth...
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Junqing Huang, Liguo Weng, Bingyu Chen and Min Xia
Analyzing land cover using remote sensing images has broad prospects, the precise segmentation of land cover is the key to the application of this technology. Nowadays, the Convolution Neural Network (CNN) is widely used in many image semantic segmentati...
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Liguo Weng, Yiming Xu, Min Xia, Yonghong Zhang, Jia Liu and Yiqing Xu
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the f...
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Liguo Weng, Xiaodong Zhang, Junhao Qian, Min Xia, Yiqing Xu and Ke Wang
Non-intrusive load disaggregation (NILD) is of great significance to the development of smart grids. Current energy disaggregation methods extract features from sequences, and this process easily leads to a loss of load features and difficulties in detec...
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