Deep Multi-Order Spatial–Spectral Residual Feature Extractor for Weak Information Mining in Remote Sensing Imagery

Deep Multi-Order Spatial–Spectral Residual Feature Extractor for Weak Information Mining in Remote Sensing Imagery

Remote sensing images (RSIs) are widely used in various fields due to their versatility, accuracy, and capacity for earth observation. Direct application of RSIs to harvest optimal results is generally difficult, especially for weak information features in the images. Thus, extracting the weak infor...

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Bibliographic Details
Main Authors: Xizhen Zhang, Aiwu Zhang, Yuan Sun, Juan Wang, Haiyang Pang, Jinbang Peng, Yunsheng Chen, Jiaxin Zhang, Vincenzo Giannico, Tsegaye Gemechu Legesse, Changliang Shao, Xiaoping Xin
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Remote Sensing
Subjects:
remote sensing
spatial–spectral feature
feature extraction
weak information
classification
Online Access:https://www.mdpi.com/2072-4292/16/11/1957

Internet

https://www.mdpi.com/2072-4292/16/11/1957

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