Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points

Lunetta, Ross S.; Shao, Yang

doi:10.1016/j.isprsjprs.2012.04.001

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Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points

Author(s): Yang Shao , Ross S. Lunetta

Publication date Created: June 2012

Publication date (Print): June 2012

Journal: ISPRS Journal of Photogrammetry and Remote Sensing

Publisher: Elsevier BV

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Classification of hyperspectral remote sensing images with support vector machines

F. Melgani, G L Bruzzone (2004)

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Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data

T. R. Loveland, B C Reed, J. F. Brown … (2010)

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Support vector machines in remote sensing: A review

Giorgos Mountrakis, Jungho Im, Caesar Ogole (2011)

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Journal

Title: ISPRS Journal of Photogrammetry and Remote Sensing

Abbreviated Title: ISPRS Journal of Photogrammetry and Remote Sensing

Publisher: Elsevier BV

ISSN (Print): 09242716

Publication date Created: June 2012

Publication date (Print): June 2012

Volume: 70

Issue:

Pages: 78-87

Article

DOI: 10.1016/j.isprsjprs.2012.04.001

SO-VID: 53baae58-afa5-4ee1-97aa-d920422b4e73

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http://www.elsevier.com/tdm/userlicense/1.0/

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Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points

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Most cited references 37

Classification of hyperspectral remote sensing images with support vector machines

Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data

Support vector machines in remote sensing: A review

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