Publication | Closed Access
CEM: More Bands, Better Performance
48
Citations
24
References
2014
Year
MusicComputational MusicologyEngineeringMore BandsMultispectral ImagingEnergy MinimizationMusicologyImage AnalysisTarget DetectionPattern RecognitionComputational ImagingAutomatic Target RecognitionImaging SpectroscopySpectral ImagingSignal ProcessingHyperspectral ImagingTarget Detection AlgorithmRemote SensingMusical AnalysisArts
Target detection has recently drawn considerable interest in hyperspectral image processing. People tend to exclude corrupted or badly damaged bands before applying the target detection algorithm to the data for better detection results. In this letter, it is proved that adding any band independent of the original image, even a noisy band, would be always beneficial to the performance of constrained energy minimization in terms of output energy. Finally, several tests are conducted to further justify our viewpoint.
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