Information-theoretic assessment of sampled hyperspectral imagers

IEEE Transactions on Geoscience and Remote Sensing

Volumn 39, Issue 7, 2001, Pages 1447-1458

  Aiazzi, Bruno ^b   Alparone, Luciano ^c   Barducci, Alessandro ^a,b   Baronti, Stefano ^a,b   Pippi, Ivan ^a,b  

^a IEEE   (Italy)

^b IFAC CNR   (Italy)

^c UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Airborne visible infrared imaging spectrometer (AVIRIS); Data compression; Entropy modeling; Generalized Gaussian function; Hyperspectral images; Interband spectral prediction; Signal to noise ratio (SNR)

Indexed keywords

AIRBORNE VISIBLE INFRARED IMAGING SPECTROMETER; GENERALIZED GAUSSIAN FUNCTION; INTERBAND SPECTRAL PREDICTION; SAMPLED HYPERSPECTRAL IMAGERS; SPATIAL RESOLUTION; SPECTRAL RESOLUTION;

CONSTRAINT THEORY; CONTENT BASED RETRIEVAL; CORRELATION THEORY; IMAGE ANALYSIS; IMAGE COMPRESSION; INFORMATION ANALYSIS; INFRARED IMAGING; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS; STATISTICAL METHODS;

REMOTE SENSING;

EID: 0035391660     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.934076     Document Type: Article

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