Title
Underwater Target Detection With Hyperspectral Data: Solutions for Both Known and Unknown Water Quality
Abstract
In this paper, we present various bathymetric filters, based on the well-known matched filter (MF), adaptive MF, and adaptive cosine/coherence estimator detectors, for underwater target detection from hyperspectral remote-sensing data. In the case of unknown water characteristics, we also propose the GLRT-based bathymetric filter, which is a generalized likelihood ratio test-based filter that esti...
Year
DOI
Venue
2012
10.1109/JSTARS.2012.2185488
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Estimation,Hyperspectral imaging,Covariance matrix,Water,Training,Detectors,Object detection
Computer vision,Object detection,Likelihood-ratio test,Remote sensing,A priori and a posteriori,Hyperspectral imaging,Artificial intelligence,Covariance matrix,Matched filter,Mathematics,Underwater,Estimator
Journal
Volume
Issue
ISSN
5
4
1939-1404
Citations 
PageRank 
References 
1
0.41
0
Authors
3
Name
Order
Citations
PageRank
Sylvain Jay1183.25
Mireille Guillaume212610.62
Jacques Blanc-Talon378050.64