On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images

Pattern Recognition

Volumn 42, Issue 11, 2009, Pages 3032-3045

  Plaza, Javier ^a   Plaza, Antonio ^a   Perez, Rosa ^a   Martinez, Pablo ^a  

^a UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Automatic training sample generation algorithms; Hyperspectral; Image processing; Mixed pixels; Mixed training samples; Multi layer perceptron; Nonlinear spectral unmixing; Spectral mixture analysis

Indexed keywords

AUTOMATIC TRAINING SAMPLE GENERATION ALGORITHMS; HYPERSPECTRAL; MIXED PIXELS; MIXED TRAINING SAMPLES; MULTI-LAYER PERCEPTRON; NONLINEAR SPECTRAL UNMIXING; SPECTRAL MIXTURE ANALYSIS;

ALGORITHMS; IMAGE PROCESSING; IMAGING SYSTEMS; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MORPHOLOGY; MIXTURES; NEURAL NETWORKS; NONLINEAR ANALYSIS; OPTICAL DATA PROCESSING; PIXELS; REMOTE SENSING; SPECTROMETERS; SPECTROMETRY;

SET THEORY;

EID: 67649398795     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.04.008     Document Type: Article

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