Band Grouping versus Band Clustering in SVM Ensemble Classification of Hyperspectral Imagery
Author:
Publisher
American Society for Photogrammetry and Remote Sensing
Subject
Computers in Earth Sciences
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Band Subset Selection Approach Based on Sparse Self-Representation and Band Grouping for Hyperspectral Image Classification;Remote Sensing;2022-11-10
2. Spectral Optimization of Airborne Multispectral Camera for Land Cover Classification: Automatic Feature Selection and Spectral Band Clustering;Geographic Information Systems in Geospatial Intelligence;2020-11-11
3. A Double-Strategy-Check Active Learning Algorithm for Hyperspectral Image Classification;Photogrammetric Engineering & Remote Sensing;2019-11-01
4. Multiple Feature Learning Based on Edge-Preserving Features for Hyperspectral Image Classification;IEEE Access;2019
5. An unsupervised feature extraction method based on band correlation clustering for hyperspectral image classification using limited training samples;Remote Sensing Letters;2018-08-27
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