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西北工业大学 国内
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Spectral Correlation-Based Diverse Band Selection for Hyperspectral Image Classification
Mingyang Ma,
Shaohui Mei
, Fan Li, Yaoyang Ge, Qian Du
电子信息学院
Xi'an Jiaotong University
Northwestern Polytechnical University Xian
Mississippi State University
科研成果
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引用 （Scopus）
综述
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探究 'Spectral Correlation-Based Diverse Band Selection for Hyperspectral Image Classification' 的科研主题。它们共同构成独一无二的指纹。
分类
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Computer Science
Image Classification
100%
Hyperspectral Image
100%
Spectral Correlation
100%
Band Selection
100%
Sparsity
40%
Experimental Result
20%
Image Analysis
20%
Computational Cost
20%
Sparse Representation
20%
Reconstruction Error
20%
Representativeness
20%
Engineering
Hyperspectral Image
100%
Spectral Correlation
100%
Image Classification
100%
Sparsity
50%
Experimental Result
25%
Computational Cost
25%
State-of-the-Art Method
25%
Dimensionality
25%
Image Analysis
25%
Iteration Algorithm
25%
Arts and Humanities
Spectral
100%
Classification image
100%
Popular
50%
Continuous
25%
Representativeness
25%
Mathematics
Computational Cost
100%
Representativeness
100%
Earth and Planetary Sciences
Spectral Correlation
100%