JSEG改进算法在多光谱遥感影像区域分割上的应用

图像分割是对图像进行感兴趣区域提取与识别的基础,是图像分析的关键步骤.基于区域分割的JSEG算法是一种既融合了颜色信息又融合了空间信息的图像分割方法,在普通图像和视频图像中都能得到良好的分割结果.将这一算法引入到遥感影像的分割中,并对其做出改进,使之适用于多光谱遥感影像和纹理特征复杂的遥感影像的区域分割.实验结果表明,该算法很好的解决了由于影像中复杂的地物信息而产生的不同区域边界模糊的问题.

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

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 butalso spatial information, and also has a good effect in region segmentation forordinary images and video images. In this paper, JSEG algorithm is introduced to segment remote sensing images, and is also improved to be applicable to segmentmulti-spectral remote sensing images andVHR remote sensing imageswhich contain complicated texture characters. Experiments demonstrate that itcan solve fuzzy region boundary problem effectively which is caused by complicated land object information.