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
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;
Conference_Titel :
Future Computer and Communication, 2009. ICFCC 2009. International Conference on
Conference_Location :
Kuala Lumpar
Print_ISBN :
978-0-7695-3591-3
DOI :
10.1109/ICFCC.2009.143