Abstract: Focusing on the semantic gap problem of “large intraclass differences and small interclass differences” caused by the complex background and scale variations of interest targets in remote ...
The final, formatted version of the article will be published soon. Accurate crop classification is essential for agricultural monitoring and ensuring food security. This paper proposes an improved ...
1 State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China 2 Honghe Branch of Yunnan Tobacco Company, Yunnan, ...
3 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. 4 DFH Satellite Co., Ltd., Beijing, China. For PyTorch dependency, see ...
Abstract: Cross-layer connections can couple different layers of neural networks in diverse paths, improving the classification accuracy of remote sensing images. However, some structures are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results