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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Copernicus Publications
2017-09-01
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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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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 |
_version_ |
1725207021932773376 |