Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 961-964, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-961-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Sep 2017
RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES
Y. Yang, H. Li, Y. Han, and F. Yu Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, China
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.
Conference paper (PDF, 1889 KB)


Citation: Yang, Y., Li, H., Han, Y., and Yu, F.: RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 961-964, https://doi.org/10.5194/isprs-archives-XLII-2-W7-961-2017, 2017.

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