Morphological Convolution and Attention Calibration Network for Hyperspectral and LiDAR Data Classification
Author:
Affiliation:
1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China
2. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China
Funder
National Natural Science Foundation of China
China University of Petroleum, Beijing
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10147812.pdf?arnumber=10147812
Reference45 articles.
1. Lateral-Slice Sparse Tensor Robust Principal Component Analysis for Hyperspectral Image Classification
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4. Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
5. Segmented-sparse-PCA for hyperspectral image classification;shemul;Proc 4th Int Conf Elect Comput Telecommun Eng,0
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