RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES

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 d...

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Main Authors: Y. Yang, H. Li, Y. Han, F. Yu
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/961/2017/isprs-archives-XLII-2-W7-961-2017.pdf
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spelling doaj-bba38c9ea55848839a1f03bdfa86787e2020-11-25T01:01:52ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-2-W796196410.5194/isprs-archives-XLII-2-W7-961-2017RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGESY. Yang0H. Li1Y. Han2F. Yu3Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, ChinaInstitute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, ChinaInstitute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, ChinaInstitute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing, ChinaIn 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/961/2017/isprs-archives-XLII-2-W7-961-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Y. Yang
H. Li
Y. Han
F. Yu
spellingShingle Y. Yang
H. Li
Y. Han
F. Yu
RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet Y. Yang
H. Li
Y. Han
F. Yu
author_sort Y. Yang
title RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES
title_short RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES
title_full RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES
title_fullStr RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES
title_full_unstemmed RESEARCH ON METHOD OF INTERACTIVE SEGMENTATION BASED ON REMOTE SENSING IMAGES
title_sort research on method of interactive segmentation based on remote sensing images
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-09-01
description 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.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/961/2017/isprs-archives-XLII-2-W7-961-2017.pdf
work_keys_str_mv AT yyang researchonmethodofinteractivesegmentationbasedonremotesensingimages
AT hli researchonmethodofinteractivesegmentationbasedonremotesensingimages
AT yhan researchonmethodofinteractivesegmentationbasedonremotesensingimages
AT fyu researchonmethodofinteractivesegmentationbasedonremotesensingimages
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