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http://dx.doi.org/10.7780/kjrs.2007.23.2.103

The Classification Accuracy Improvement of Satellite Imagery Using Wavelet Based Texture Fusion Image  

Hwang, Hwa-Jeong (Dept. of Earth Science Education, Seoul National University)
Lee, Ki-Won (Dept. of Information System Engineering, Hansung University)
Kwon, Byung-Doo (Dept. of Earth Science Education, Seoul National University)
Yoo, Hee-Young (Dept. of Earth Science Education, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.23, no.2, 2007 , pp. 103-111 More about this Journal
Abstract
The spectral information based image analysis, visual interpretation and automatic classification have been widely carried out so far for remote sensing data processing. Yet recently, many researchers have tried to extract the spatial information which cannot be expressed directly in the image itself. Using the texture and wavelet scheme, we made a wavelet-based texture fusion image which includes the advantages of each scheme. Moreover, using these schemes, we carried out image classification for the urban spatial analysis and the geological structure analysis around the caldera area. These two case studies showed that image classification accuracy of texture image and wavelet-based texture fusion image is better than that of using only raw image. In case of the urban area using high resolution image, as both texture and wavelet based texture fusion image are added to the original image, the classification accuracy is the highest. Because detailed spatial information is applied to the urban area where detail pixel variation is very significant. In case of the geological structure analysis using middle and low resolution image, the images added by only texture image showed the highest classification accuracy. It is interpreted to be necessary to simplify the information such as elevation variation, thermal distribution, on the occasion of analyzing the relatively larger geological structure like a caldera. Therefore, in the image analysis using spatial information, each spatial information analysis method should be carefully selected by considering the characteristics of the satellite images and the purpose of study.
Keywords
spatial information; wavelet-based texture fusion image; classification accuracy;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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