A Performance Acceleration Algorithm of Spectral Unmixing via Subset Selection
نویسندگان
چکیده
An acceleration algorithm for spectral unmixing approach is proposed based on subset selection. The method classifies the pixels in a spectral image into accurate and approximated unmixing groups based on the similarity and dissimilarity of geomorphological features in neighboring areas. Real spectral images are used for unmixing benchmark tests for accuracy and performance verification. The results reveal good performance speedup with only small accuracy loss.
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