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Target detection from noise-reduced hyperspectral imagery using a spectral unmixing approach
Optical Engineering
◽
10.1117/1.3077179
◽
2009
◽
Vol 48
(2)
◽
pp. 026401
◽
Cited By ~ 3
Author(s):
Josée Lévesque
Keyword(s):
Target Detection
◽
Hyperspectral Imagery
◽
Spectral Unmixing
Download Full-text
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Subpixel target detection in hyperspectral imagery using piece-wise convex spatial-spectral unmixing, possibilistic and fuzzy clustering, and co-registered LiDAR
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
◽
10.1109/igarss.2013.6721347
◽
2013
◽
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Author(s):
Taylor Glenn
◽
Dmitri Dranishnikov
◽
Paul Gader
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Keyword(s):
Target Detection
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Fuzzy Clustering
◽
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An Unmixing-Based Network for Underwater Target Detection from Hyperspectral Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
◽
10.1109/jstars.2021.3080919
◽
2021
◽
pp. 1-1
Author(s):
Jiahao Qi
◽
Zhiqiang Gong
◽
Wei Xue
◽
Xingyue Liu
◽
Aihuan Yao
◽
...
Keyword(s):
Target Detection
◽
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◽
Underwater Target Detection
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Underwater Target
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Atmospheric effects on the classification of surface minerals in an arid region using Short-Wave Infrared (SWIR) hyperspectral imagery and a spectral unmixing technique
Canadian Journal of Remote Sensing
◽
10.5589/m02-069
◽
2002
◽
Vol 28
(6)
◽
pp. 738-749
◽
Cited By ~ 1
Author(s):
Christian Nadeau
◽
Robert A Neville
◽
Karl Staenz
◽
Norman T O'Neill
◽
Alain Royer
Keyword(s):
Arid Region
◽
Hyperspectral Imagery
◽
Short Wave
◽
Spectral Unmixing
◽
Atmospheric Effects
◽
Short Wave Infrared
Download Full-text
Target detection in hyperspectral imagery using one-dimensional fringe-adjusted joint transform correlation
10.1117/12.666666
◽
2006
◽
Cited By ~ 3
Author(s):
M. S. Alam
◽
S. Ochilov
Keyword(s):
Target Detection
◽
Hyperspectral Imagery
◽
One Dimensional
◽
Joint Transform Correlation
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Local covariance equalization of hyperspectral imagery: advantages and limitations for target detection
2005 IEEE Aerospace Conference
◽
10.1109/aero.2005.1559491
◽
2005
◽
Cited By ~ 4
Author(s):
A. Schaum
Keyword(s):
Target Detection
◽
Hyperspectral Imagery
◽
Local Covariance
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Target and Background Separation in Hyperspectral Imagery for Automatic Target Detection
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp.2018.8462257
◽
2018
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Cited By ~ 4
Author(s):
Ahmad W. Bitar
◽
Loong-Fah Cheong
◽
Jean-Philippe Ovarlez
Keyword(s):
Target Detection
◽
Hyperspectral Imagery
◽
Automatic Target Detection
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A support vector data description approach to target detection in hyperspectral imagery
10.1117/12.818642
◽
2009
◽
Author(s):
Wesam A. Sakla
◽
Adel A. Sakla
◽
Andrew Chan
Keyword(s):
Target Detection
◽
Hyperspectral Imagery
◽
Support Vector
◽
Support Vector Data Description
◽
Vector Data
◽
Data Description
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Linear spectral unmixing with generalized constraint for hyperspectral imagery
2012 IEEE International Geoscience and Remote Sensing Symposium
◽
10.1109/igarss.2012.6351389
◽
2012
◽
Cited By ~ 1
Author(s):
Yuhang Zhang
◽
Xiao Fan
◽
Ye Zhang
◽
Ran Wei
Keyword(s):
Hyperspectral Imagery
◽
Spectral Unmixing
◽
Linear Spectral Unmixing
◽
Generalized Constraint
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Dynamics of Target Detection Using Drone Based Hyperspectral Imagery
Lecture Notes in Civil Engineering - Proceedings of UASG 2019
◽
10.1007/978-3-030-37393-1_10
◽
2020
◽
pp. 91-97
Author(s):
Sudhanshu Shekhar Jha
◽
Rama Rao Nidamanuri
Keyword(s):
Target Detection
◽
Hyperspectral Imagery
Download Full-text
A preprocessing method based on independent component analysis with references for target detection in hyperspectral imagery
2014 International Conference on Audio, Language and Image Processing
◽
10.1109/icalip.2014.7009851
◽
2014
◽
Author(s):
Shuo Jin
◽
Bin Wang
Keyword(s):
Independent Component Analysis
◽
Target Detection
◽
Hyperspectral Imagery
◽
Component Analysis
◽
Independent Component
◽
Preprocessing Method
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