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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 774-776Survey of Support Vector Machine in the Processing...

Survey of Support Vector Machine in the Processing of Remote Sensing Image

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Abstract:

Support vector machine is a kind of machine learning algorithm which is based on statistical learning theory and VC dimension theory and structural risk minimization principle, it can solve data classification and regression problems. With the in-depth research of support vector machine, in the field of remote sensing image processing applications are also obtained the very big development. This paper first gives a brief introduction of the theory of support vector machine, and then summarized the progress in remote sensing image compression, geometric correction of remote sensing images, processing of remote sensing image data classification research, finally proposed the trend of the support vector machine in application and development in the field of remote sensing image processing problems.

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Periodical:

Advanced Materials Research (Volumes 774-776)

Pages:

1567-1572

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.774-776.1567

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Cite this paper

Online since:

September 2013

Authors:

Su Li, Wen Chao Wang, Lu Wen Li, Jian Jun Zhou

Keywords:

Image Processing, Remote Sensing, Support Vector Machine (SVM)

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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