HIGHLIGHTS
- who: Wei Wang and collaborators from the School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China have published the paper: SCU-Net: Semantic Segmentation Network for Learning Channel Information on Remote Sensing Images, in the Journal: Computational Intelligence and Neuroscience of 10/04/2022
- what: In this paper, nine kinds of SCUNets are designed and tested on the dataset. In the experiment of this paper, the GF-2 satellite remote sensing image of Chenzhou in 2016 is used, and the ground truth was labeled manually.
- how: The precision . . .
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