An oblique subspace projection approach for mixed pixel classification in hyperspectral images

Pattern Recognition

Volumn 32, Issue 8, 1999, Pages 1399-1408

  Tu, Te Ming ^a   Shyu, Hsuen Chyun ^a   Lee, Ching Hai ^a   Chang, Chein I ^b  

^a NATIONAL DEFENSE UNIVERSITY   (Taiwan)

^b University of Marylandw Baltimore County   (United States)

Author keywords

Least squares estimate; Neyman Pearson detection; Oblique subspace projection; Orthogonal subspace projection; ROC curve

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ERRORS; GRAPH THEORY; INFRARED SPECTROMETERS; LEAST SQUARES APPROXIMATIONS; SIGNAL RECEIVERS;

AIRBORNE VISIBLE INFRARED IMAGE SPECTROMETER; NEYMAN-PEARSON DETECTION THEORY; OBLIQUE SUBSPACE PROJECTOR; ORTHOGONAL SUBSPACE PROJECTOR; RECEIVER OPERATING CHARACTERISTIC;

PATTERN RECOGNITION;

EID: 0032686947     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(98)00165-4     Document Type: Article

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