A new framework for hyperspectral image classification using multiple spectral and spatial features
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/6919813/6946328/06947524.pdf?arnumber=6947524
Cited by 8 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. Band clustering using expectation–maximization algorithm and weighted average fusion-based feature extraction for hyperspectral image classification;Journal of Applied Remote Sensing;2018-11-02
2. Three-dimensional discrete cosine transform-based feature extraction for hyperspectral image classification;Journal of Applied Remote Sensing;2018-10-23
3. Hyperspectral image classification based on EMAPs spatial-spectral features fusion and SMLR;Tenth International Conference on Digital Image Processing (ICDIP 2018);2018-08-09
4. Exact divide-and-conquer algorithm of multinomial logistic regression for hyperspectral image classification;Journal of Applied Remote Sensing;2018-04-26
5. ANÁLISE DO NÍVEL DE LEGENDA DE CLASSIFICAÇÃO DE AREAS URBANAS EMPREGANDO IMAGENS MULTIESPECTRAIS E HIPERESPECTRAIS COM OS MÉTODOS ÁRVORE DE DECISÃO C4.5 E FLORESTA RANDÔMICA;Boletim de Ciências Geodésicas;2017-06
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