A Comparative Study for Orthogonal Subspace Projection and Constrained Energy Minimization
MARYLAND UNIV BALTIMORE DEPT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING
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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.
- Cartography and Aerial Photography
- Atomic and Molecular Physics and Spectroscopy