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西北工业大学 国内
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Improving Spectral-Based Endmember Finding by Exploring Spatial Context for Hyperspectral Unmixing
Shaohui Mei
, Ge Zhang, Jun Li, Yifan Zhang, Qian Du
电子信息学院
Northwestern Polytechnical University Xian
Sun Yat-Sen University
Mississippi State University
科研成果
:
期刊稿件
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同行评审
13
引用 (Scopus)
综述
指纹
指纹
探究 'Improving Spectral-Based Endmember Finding by Exploring Spatial Context for Hyperspectral Unmixing' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
unmixing
100%
Spectral Information
40%
Experimental Result
20%
Spatial Information
20%
Remote Sensing Image
20%
Hyperspectral Image
20%
Spatial Structure
20%
Sparse Representation
20%
Singular Value
20%
Postprocessing Step
20%
Neighboring Pixel
20%
Hyperspectral Image Processing
20%
Spatial Distribution
20%
Domain Feature
20%
Preprocessing Stage
20%
Linear Representation
20%
Earth and Planetary Sciences
Hyperspectral Image
100%
State of the Art
50%
Remote Sensing
50%
Image Processing
50%
Spatial Distribution
50%