Hyperspectral Unmixing Based on Local Collaborative Sparse Regression.
IEEE Geoscience and Remote Sensing Letters(2016)
摘要
Spectral unmixing is an important technique for hyperspectral data exploitation. In order to solve the unmixing problem using a collection of previously available spectral signatures (i.e., a spectral library), sparse unmixing aims at finding the optimal subset of endmembers to represent the pixels in a hyperspectral image. The classic collaborative unmixing globally assumes that all pixels in a h...
更多查看译文
关键词
Collaboration,Hyperspectral imaging,Libraries,Image color analysis,Optimization,Mixture models
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要