River-flow boundary delineation from digital aerial photography and ancillary images using Support Vector Machines-Reference-Cited by-同舟云学术

River-flow boundary delineation from digital aerial photography and ancillary images using Support Vector Machines

Published:2013-02 Issue:1 Volume:50 Page:1-25
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Güneralp İnci¹,Filippi Anthony M.,Hales Billy U.

Affiliation:

1. a Department of Geography , Texas A&M University , 3147 TAMU, College Station , TX , 77843-3147 , USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2013.778560

Reference68 articles.

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2. Boser, B. E., I. M. Guyon, and V. N. Vapnik. 1992. “A Training Algorithm for Optimal Margin Classifiers.” In5th Annual Workshop on Computational Learning Theory, edited by D. Haussler, 144–152. New York: ACM.

3. Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains1

4. A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images

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