Segmented-Sparse-PCA for Hyperspectral Image Classification
Author:
Affiliation:
1. HSTU,Department of CSE,Dinajpur,Bangladesh,5200
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10114473/10114474/10114537.pdf?arnumber=10114537
Reference15 articles.
1. Multispectral Transformations of Image Data
2. Subspace Detection Using a Mutual Information Measure for Hyperspectral Image Classification
3. Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification
4. Feature Mining for Hyperspectral Image Classification
5. Classification of hyperspectral remote sensing images with support vector machines
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3. Morphological Convolution and Attention Calibration Network for Hyperspectral and LiDAR Data Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023
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