A novel maximum likelihood based method for mapping depth and water quality from hyperspectral remote-sensing data

Remote Sensing of Environment

Volumn 147, Issue , 2014, Pages 121-132

  Jay, Sylvain ^a   Guillaume, Mireille ^a  

^a AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

Bathymetry; Depth retrieval; Hyperspectral; Maximum likelihood estimation; Multi resolution mapping; Remote sensing; Water quality retrieval

Indexed keywords

BATHYMETRY; IMAGE RESOLUTION; MAPPING; PIXELS; REMOTE SENSING; SIGNAL TO NOISE RATIO; SPECTROSCOPY; WATER QUALITY;

CONCENTRATION MAPS; DEPTH RETRIEVAL; ESTIMATION RESULTS; HYPERSPECTRAL; HYPERSPECTRAL REMOTE SENSING DATA; LOCAL MAXIMUM LIKELIHOOD; SPATIAL CORRELATIONS; SPATIAL RESOLUTION;

MAXIMUM LIKELIHOOD ESTIMATION;

BATHYMETRIC SURVEY; MAXIMUM LIKELIHOOD ANALYSIS; PIXEL; REMOTE SENSING; SATELLITE DATA; SHALLOW WATER; SIGNAL-TO-NOISE RATIO; SPECTRAL ANALYSIS; SPECTRAL RESOLUTION; WATER COLUMN; WATER DEPTH; WATER QUALITY;

EID: 84896930266     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.01.026     Document Type: Article

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