CMR-CNN: Cross-Mixing Residual Network for Hyperspectral Image Classification

CMR-CNN: Cross-Mixing Residual Network for Hyperspectral Image Classification

With the development of deep learning, various convolutional neural network (CNN)-based methods have been proposed for the hyperspectral image (HSI) classification. Although most of them achieve good classification performance, there are still more misclassifications in the prediction map with fewer...

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Bibliographic Details
Main Authors: Zhen Yang, Zhipeng Xi, Tao Zhang, Weiwei Guo, Zenghui Zhang, Heng-Chao Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Assisted feature extraction (AFE)
CMR-CNN
classification
hyperspectral image (HSI)
spatial information
spectral information
Online Access:https://ieeexplore.ieee.org/document/9917315/

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