Region Segmentation of Multi-spectral Remote Sensing Images Based on JSEG Algorithm

概要

論文の詳細を見る
Image segmentation is the basic of extracting and recognizing interesting region, and it also is the key step of image analysis. Region-based JSEG algorithm is a new image segmentation algorithm not only considers color information but also considers spatial information, and also has a good effect in region segmentation for ordinary images and video images. In this paper, JSEG algorithm is introduced to segment remote sensing images, and is also improved to be applicable to segment multi-spectral remote sensing images and VHR remote sensing images which contain complicated texture characters, and original remote sensing image spectra replaced by some ground cover parameters can make difference between different ground cover more obviously. Experiments demonstrate it can solve fuzzy region boundary problem effectively which is caused by complicated land object information.
同志社大学の論文