Adaptive collaborative graph for discriminant analysis of hyperspectral imagery
Author:
Affiliation:
1. School of Electronics and Control Engineering, Chang’an University , Xi’an, China
2. College of Biomedical Engineering and Imaging Medical, Army Medical University (Third Military Medical University) , Chongqing, China
Funder
National Natural Science Foundation of China
Key Logistics Research Projects
the Fundamental Research Funds for the Central Universities
Publisher
Informa UK Limited
Subject
Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/22797254.2020.1735947
Reference32 articles.
1. Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine
2. Learning with $\ell ^{1}$-graph for image analysis
3. Dimensionality Reduction of Hyperspectral Image with Graph-Based Discriminant Analysis Considering Spectral Similarity
4. Block-Based Compressed Sensing of Images and Video
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1. Spectral–Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images;IEEE Transactions on Geoscience and Remote Sensing;2023
2. Dimensionality Reduction of Hyperspectral Image Based on Local Constrained Manifold Structure Collaborative Preserving Embedding;Remote Sensing;2021-04-02
3. Arbitrary-angle bounding box based location for object detection in remote sensing image;European Journal of Remote Sensing;2021-01-01
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