Region segmentation of multi-spectral remote sensing images using improved JSEG algorithm

Huang Wei
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引用次数: 2

Abstract

Image segmentation is the basic of extracting and recognizing interesting region,and it is also the key step of image analysis.Region-based JSEG algorithm is a new image segmentation algorithm considers not only color information but also 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.Experiments demonstrate that it can solve fuzzy region boundary problem effectively which is caused by complicated land object information.
基于改进JSEG算法的多光谱遥感图像区域分割
图像分割是提取和识别感兴趣区域的基础,也是图像分析的关键步骤。基于区域的JSEG算法是一种既考虑颜色信息又考虑空间信息的新型图像分割算法,对于普通图像和视频图像的区域分割都有很好的效果。本文将JSEG算法引入到遥感图像分割中,并对其进行了改进,使其适用于包含复杂纹理特征的多光谱遥感图像和VHR遥感图像的分割。实验表明,该方法能有效地解决复杂地物信息引起的模糊区域边界问题。
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