Supervised Classification of Remotely Sensed Imagery Using a Modified $k$-NN Technique

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2008.916629 ◽

2008 ◽

Vol 46 (7) ◽

pp. 2112-2125 ◽

Author(s):

L. Samaniego ◽

A. Bardossy ◽

K. Schulz

Keyword(s):

Supervised Classification ◽

Remotely Sensed ◽

Remotely Sensed Imagery

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Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2016.2623942 ◽

2017 ◽

Vol 55 (3) ◽

pp. 1424-1436 ◽

Author(s):

Linlin Xu ◽

David A. Clausi ◽

Fan Li ◽

Alexander Wong

Keyword(s):

Supervised Classification ◽

Remotely Sensed ◽

Remotely Sensed Imagery ◽

Weakly Supervised ◽

Weakly Supervised Classification

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Exploring the sample quality using rough sets theory for the supervised classification of remotely sensed imagery

Geo-spatial Information Science ◽

10.1007/s11806-008-0020-0 ◽

2008 ◽

Vol 11 (2) ◽

pp. 95-102 ◽

Author(s):

Yong Ge ◽

Hexiang Bai ◽

Sanping Li ◽

Deyu Li

Keyword(s):

Supervised Classification ◽

Remotely Sensed ◽

Sample Quality ◽

Rough Sets Theory ◽

Remotely Sensed Imagery ◽

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Fully fuzzy supervised classification of land cover from remotely sensed imagery with an artificial neural network

Neural Computing and Applications ◽

10.1007/bf01424229 ◽

1997 ◽

Vol 5 (4) ◽

pp. 238-247 ◽

Author(s):

G. M. Foody

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Supervised Classification ◽

Remotely Sensed ◽

Remotely Sensed Imagery ◽

Artificial Neural

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Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis

Journal of Spatial Science ◽

10.1080/14498596.2012.733616 ◽

2012 ◽

Vol 57 (2) ◽

pp. 135-152 ◽

Author(s):

Yong Ge ◽

Hexiang Bai ◽

Jinfeng Wang ◽

Feng Cao

Keyword(s):

Correlation Analysis ◽

Supervised Classification ◽

Remotely Sensed ◽

Training Data ◽

Remotely Sensed Imagery

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Contextual unsupervised classification of remotely sensed imagery with mixels

10.1117/12.689566 ◽

2006 ◽

Author(s):

Shuji Kawaguchi ◽

Ryuei Nishii

Keyword(s):

Unsupervised Classification ◽

Remotely Sensed ◽

Remotely Sensed Imagery

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Parameter Selection for Segmentation in Object-Oriented Classification of Remotely Sensed Imagery

2010 International Conference on Intelligent Computation Technology and Automation ◽

10.1109/icicta.2010.710 ◽

2010 ◽

Author(s):

Shukui Bo ◽

Xinchao Han

Keyword(s):

Object Oriented ◽

Remotely Sensed ◽

Parameter Selection ◽

Remotely Sensed Imagery ◽

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Supervised classification of remotely sensed images based on fuzzy sets

Computational Intelligence Theory and Applications - Lecture Notes in Computer Science ◽

10.1007/3-540-62868-1_144 ◽

1997 ◽

pp. 510-516

Author(s):

Peter Sinčák

Keyword(s):

Supervised Classification ◽

Remotely Sensed ◽

Remotely Sensed Images

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Supervised classification of remotely sensed images using Bayesian network models and Kruskal algorithm

Image and Signal Processing for Remote Sensing XXIII ◽

10.1117/12.2278122 ◽

2017 ◽

Author(s):

Radja Kheddam ◽

Aichouche Belhadj-Aissa ◽

Youcef Boudissa

Keyword(s):

Bayesian Network ◽

Supervised Classification ◽

Network Models ◽

Remotely Sensed ◽

Remotely Sensed Images ◽

Bayesian Network Models

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Training strategies for neural network soft classification of remotely-sensed imagery

International Journal of Remote Sensing ◽

10.1080/014311697218160 ◽

1997 ◽

Vol 18 (8) ◽

pp. 1851-1856 ◽

Author(s):

A. C. Bernard ◽

G. G. Wilkinson ◽

I. Kanellopoulos

Keyword(s):

Neural Network ◽

Remotely Sensed ◽

Remotely Sensed Imagery ◽

Soft Classification ◽

Training Strategies

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Alpha-shapes for visualizing irregular-shaped class clusters in 3D feature space for classification of remotely sensed imagery

10.1117/12.539219 ◽

2004 ◽

Author(s):

Arko Lucieer ◽

Menno-Jan Kraak

Keyword(s):

Feature Space ◽

Remotely Sensed ◽

Remotely Sensed Imagery ◽

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