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On a mathematical framework for object recognition from multi-perspective remotely sensed imagery
2011 Proceedings of IEEE Southeastcon
◽
10.1109/secon.2011.5752930
◽
2011
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Author(s):
Alan M. Thomas
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J. Michael Burkhart
◽
C. Spencer Nichols
Keyword(s):
Object Recognition
◽
Remotely Sensed
◽
Mathematical Framework
◽
Remotely Sensed Imagery
Download Full-text
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Map-guided interpretation of remotely-sensed imagery
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Contextual unsupervised classification of remotely sensed imagery with mixels
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2006
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Ryuei Nishii
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Unsupervised Classification
◽
Remotely Sensed
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Remotely Sensed Imagery
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Kalman filtering as a multilayer perceptron training algorithm for detecting changes in remotely sensed imagery
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)
◽
10.1109/igarss.2003.1295375
◽
2004
◽
Cited By ~ 1
Author(s):
Y. Chibani
◽
H. Nemmour
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Kalman Filtering
◽
Multilayer Perceptron
◽
Remotely Sensed
◽
Training Algorithm
◽
Remotely Sensed Imagery
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A Novel Collaborative Representation Algorithm for Spectral Unmixing of Hyperspectral Remotely Sensed Imagery
IEEE Access
◽
10.1109/access.2021.3085398
◽
2021
◽
pp. 1-1
Author(s):
Jing Wang
Keyword(s):
Remotely Sensed
◽
Spectral Unmixing
◽
Collaborative Representation
◽
Remotely Sensed Imagery
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Geometric Transformation and Terrain Correction of Remotely-Sensed Imagery
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2005
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Remotely Sensed
◽
Terrain Correction
◽
Geometric Transformation
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Remotely Sensed Imagery
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Intraurban Population Estimation with Remotely Sensed Imagery: A Developing World Perspective
Geography Compass
◽
10.1111/j.1749-8198.2008.00121.x
◽
2008
◽
Vol 2
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◽
pp. 744-770
◽
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Author(s):
Perry J. Hardin
◽
J. Matthew Shumway
Keyword(s):
Developing World
◽
Remotely Sensed
◽
Population Estimation
◽
Remotely Sensed Imagery
◽
World Perspective
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Combining Remotely Sensed Imagery with Survival Models for Outage Risk Estimation of the Power Grid
10.1109/cvprw53098.2021.00131
◽
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◽
Author(s):
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◽
Tapan Shah
◽
Mohammed Yousefhussien
◽
Achalesh Pandey
Keyword(s):
Risk Estimation
◽
Power Grid
◽
Remotely Sensed
◽
Survival Models
◽
Remotely Sensed Imagery
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Estimating Urban Population Density Using Remotely Sensed Imagery Products
Advances in Remote Sensing for Natural Resource Monitoring
◽
10.1002/9781119616016.ch9
◽
2021
◽
pp. 132-149
Author(s):
Dimitris Triantakonstantis
◽
Demetris Stathakis
◽
Zoi Papadopoulou
Keyword(s):
Population Density
◽
Urban Population
◽
Remotely Sensed
◽
Remotely Sensed Imagery
Download Full-text
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