DocumentCode
2752245
Title
Remote Sensing Image Classification Based on the HSI Transformation and Fuzzy Support Vector Machine
Author
Cui, Yuyong ; Zeng, Zhiyuan
Author_Institution
Digital Eng. & Simulation Res. Center, Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2009
fDate
3-5 April 2009
Firstpage
632
Lastpage
635
Abstract
For some different bands of the remote sensing have different information of the objects. To classifier the different objects, we use some assemble bands RGB image and give a transform named RGB to HIS. Then use the Fuzzy Support vector to classifier the transformed I from RGB model of some bands of the image assembles, which can classifier the image and get a good result, especially the road and some detail of the image can be correctly classifier. So it can improve the precise of the classification.
Keywords
image processing; remote sensing; support vector machines; HSI transformation; RGB image; fuzzy support vector machine; image classification; remote sensing; Assembly; Computational modeling; Computer simulation; Electronic mail; Image classification; Image resolution; Remote sensing; Roads; Support vector machine classification; Support vector machines; HIS; remote sensing image; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication, 2009. ICFCC 2009. International Conference on
Conference_Location
Kuala Lumpar
Print_ISBN
978-0-7695-3591-3
Type
conf
DOI
10.1109/ICFCC.2009.143
Filename
5189860
Link To Document