Underwater target detection with hyperspectral data: Solutions for both known and unknown water quality

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 4, 2012, Pages 1213-1221

  Jay, Sylvain ^a,b,c   Guillaume, Mireille ^a,b,c   Blanc Talon, Jacques ^d  

^a AIX MARSEILLE UNIVERSITÉ   (France)

^b Ecole Centrale Marseille   (France)

^c AIX MARSEILLE UNIVERSITY   (France)

^d Office for Advanced Research and Innovation (DGA/MRIS)   (France)

Author keywords

Hyperspectral remote sensing; maximum likelihood estimation; underwater object detection

Indexed keywords

CLASSICAL METHODS; DETECTION PERFORMANCE; ESTIMATION ERRORS; ESTIMATION PROCESS; GENERALIZED LIKELIHOOD RATIO; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL REMOTE SENSING; NEW DETECTORS; PRIORI KNOWLEDGE; UNDERWATER OBJECT DETECTION; UNDERWATER TARGET DETECTION; WATER CHARACTERISTICS; WATER COLUMNS;

BATHYMETRY; ESTIMATION; MAXIMUM LIKELIHOOD ESTIMATION; REMOTE SENSING; WATER QUALITY;

TARGET TRACKING;

DETECTION METHOD; MAXIMUM LIKELIHOOD ANALYSIS; REMOTE SENSING; UNDERWATER ENVIRONMENT; WATER QUALITY;

EID: 84864774999     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2185488     Document Type: Article

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