Spatial-Spectral Hyperspectral Image Classification Using Random Multiscale Representation.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2016)

引用 9|浏览19
暂无评分
摘要
This paper presents a novel spatial-spectral classification method for remotely sensed hyperspectral images. First of all, a multiscale representation technique based on random projection, referred as random multiscale representation (RMSR), is proposed to extract the spatial features from the given scene. The idea behind RMSR is to properly model the spatial characteristics comprised by each pixe...
更多
查看译文
关键词
Feature extraction,Sparse matrices,Hyperspectral imaging,Imaging,Computational modeling
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