A maximum noise fraction transform based on a sensor noise model for hyperspectral data

31st Asian Conference on Remote Sensing 2010, ACRS 2010

Volumn 2, Issue , 2010, Pages 1702-1707

  Yokoya, Naoto ^a   Iwasaki, Akira ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Feature extraction; Hyperspectral data; MNF transform; Noise estimation; Spectral distortion

Indexed keywords

AIRBORNE VISIBLE INFRARED/IMAGING SPECTROMETERS; CLASSIFICATION ACCURACY; FEATURE EXTRACTION METHODS; HIGH IMAGE QUALITY; HYPERION; HYPERSPECTRAL DATA; HYPERSPECTRAL REMOTE SENSING DATA; MAXIMUM NOISE FRACTION; MNF TRANSFORM; NOISE COVARIANCE MATRIX; NOISE ESTIMATION; NOISE MODELS; PRE-PROCESSING STEP; SENSOR NOISE; SINGLE IMAGES; SPACE-BORNE; SPECTRAL DISTORTIONS; SPECTRAL FEATURE; SPECTRAL FEATURE EXTRACTION;

ATMOSPHERICS; CHARGE COUPLED DEVICES; COVARIANCE MATRIX; EXPERIMENTS; FEATURE EXTRACTION; IMAGE CLASSIFICATION; INFRARED SPECTROMETERS; REMOTE SENSING;

SIGNAL TO NOISE RATIO;

EID: 84865616496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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