A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
A comparative study for orthogonal subspace projection and constrained energy minimization
2003
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
In this letter, we conduct a comparative study and investigate the relationship between two well-known techniques in hyperspectral image detection and classification: orthogonal subspace projection (OSP) and constrained energy minimization (CEM). It is shown that they are closely related and essentially equivalent provided that the noise is white with large SNR. Based on this relationship, the performance of OSP can be improved via data-whitening and noise-whitening processes. Index
doi:10.1109/tgrs.2003.813704
fatcat:j3hcchs77vagrgvm7gumnym6v4