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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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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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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Improving the quality of remotely sensed derived land cover maps by incorporating mixed pixels in various stages of a supervised classification process

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477) ◽

10.1109/igarss.2003.1294817 ◽

2004 ◽

Author(s):

M.A. Ibrahim ◽

M.K. Arora ◽

S.K. Ghosh

Keyword(s):

Supervised Classification ◽

Remotely Sensed ◽

Mixed Pixels ◽

Land Cover Maps

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A novel approach for semi-supervised classification of remote sensing images using a clustering-based selection of training data according to their GMM responsibilities

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8128058 ◽

2017 ◽

Author(s):

Victor-Emil Neagoe ◽

Vlad Chirila-Berbentea

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Training Data ◽

Remote Sensing Images ◽

Novel Approach ◽

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Developing a New Algorithm Based on Statistical Analysis of the Spectral Behavior of Features for Extracting Training Data Automatically for Classification of Remotely Sensed Images

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-019-01099-y ◽

2020 ◽

Vol 48 (4) ◽

pp. 535-551

Author(s):

Sahar Hoseynzadeh ◽

Farshid Farnood Ahmadi

Keyword(s):

Statistical Analysis ◽

Remotely Sensed ◽

Training Data ◽

Spectral Behavior ◽

Remotely Sensed Images

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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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