HIGHLIGHTS
- who: Hyperspectral Images and colleagues from the Deptof Electronic and Electrical Engineering, University of Strathclyde, Glasgow , QE, UK have published the paper: remote sensing, in the Journal: (JOURNAL)
- what: To improve the performance of the sparse representation classification (SRC) the authors propose a superpixel-based feature specific sparse representation framework (SPFS-SRC) for spectral-spatial classification of_(HSI) at superpixel level. Inspired by the aforementioned challenges and the success of SRC in HSI classification, the authors propose an improved SRC-based framework for the HSI classification. Although the training sample pairs can be acquired from . . .
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