The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W7
https://doi.org/10.5194/isprs-archives-XLII-2-W7-961-2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-961-2017
13 Sep 2017
 | 13 Sep 2017

RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES

Y. Yang, H. Li, Y. Han, and F. Yu

Keywords: Interactive Segmentation, Intelligent Scissors, Graph cut, GrabCut

Abstract. In this paper, we aim to solve the object extraction problem in remote sensing images using interactive segmentation tools. Firstly, an overview of the interactive segmentation algorithm is proposed. Then, our detailed implementation of intelligent scissors and GrabCut for remote sensing images is described. Finally, several experiments on different typical features (water area, vegetation) in remote sensing images are performed respectively. Compared with the manual result, it indicates that our tools maintain good feature boundaries and show good performance.