Improved fast mean shift algorithm for remote sensing image segmentation

Abstract

Image segmentation plays a crucial role in object-based remote sensing information extraction. This study improves the existing mean shift (MS) algorithm for segmenting high resolution remote sensing imagery by adopting two strategies. First, a pixel-based, fixed bandwidth and weighted MS algorithm is applied to cluster the image. In this process, the space… (More)
DOI: 10.1049/iet-ipr.2014.0393

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Cite this paper

@article{Zhou2015ImprovedFM, title={Improved fast mean shift algorithm for remote sensing image segmentation}, author={Jia-Xiang Zhou and Zhi-Wei Li and Chong Fan}, journal={IET Image Processing}, year={2015}, volume={9}, pages={389-394} }