A two-stage contour optimization network for building outline extraction from remote sensing images
Building extraction from remote sensing images is the basis of many applications. However, most current studies consider building extraction a semantic segmentation task to categorize pixels in an image. In this paper, a two-stage building object extraction model is constructed: contour initializati...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2454940 |
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| _version_ | 1832590842687127552 |
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| author | Youping Xie Bin Feng Longjie Luo Bin Hu Li Cao Fan Lei |
| author_facet | Youping Xie Bin Feng Longjie Luo Bin Hu Li Cao Fan Lei |
| author_sort | Youping Xie |
| collection | DOAJ |
| description | Building extraction from remote sensing images is the basis of many applications. However, most current studies consider building extraction a semantic segmentation task to categorize pixels in an image. In this paper, a two-stage building object extraction model is constructed: contour initialization and contour optimization. We directly extract and predict the location of each contour vertex of the building outline by designed model. It mitigates matching errors between contour vertices by dividing the contour into multiple segments. Moreover, an edge attention module is introduced in the contour optimization stage, which adjusts the weight of each vertex in the regression process. So that, vertices far from the real contour are forced to move more quickly. On the Vaihingen dataset, our method achieved 96.67% and 95.95% scores in the Wconv and F1 scores. For the SpaceNet dataset, our proposed method also achieved a very competitive F1 score. |
| format | Article |
| id | doaj-art-ba51952d35e4452e855488c352a48d13 |
| institution | Kabale University |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-ba51952d35e4452e855488c352a48d132025-01-23T07:14:15ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2025.2454940A two-stage contour optimization network for building outline extraction from remote sensing imagesYouping Xie0Bin Feng1Longjie Luo2Bin Hu3Li Cao4Fan Lei5The Second Surveying and Mapping Institute of Hunan Province, Changsha, ChinaInstitute of Geophysical and Geochemical Exploration, China Academy of Geological Sciences, Langfang, ChinaChina University of Geosciences, Wuhan, ChinaSchool of Resources, Environmental Science and Engineering, Hubei University of Science and Technology, Xianning, ChinaThe Second Surveying and Mapping Institute of Hunan Province, Changsha, ChinaThe Second Surveying and Mapping Institute of Hunan Province, Changsha, ChinaBuilding extraction from remote sensing images is the basis of many applications. However, most current studies consider building extraction a semantic segmentation task to categorize pixels in an image. In this paper, a two-stage building object extraction model is constructed: contour initialization and contour optimization. We directly extract and predict the location of each contour vertex of the building outline by designed model. It mitigates matching errors between contour vertices by dividing the contour into multiple segments. Moreover, an edge attention module is introduced in the contour optimization stage, which adjusts the weight of each vertex in the regression process. So that, vertices far from the real contour are forced to move more quickly. On the Vaihingen dataset, our method achieved 96.67% and 95.95% scores in the Wconv and F1 scores. For the SpaceNet dataset, our proposed method also achieved a very competitive F1 score.https://www.tandfonline.com/doi/10.1080/10106049.2025.2454940Building extractionremote sensingcontour attentioncontour optimization |
| spellingShingle | Youping Xie Bin Feng Longjie Luo Bin Hu Li Cao Fan Lei A two-stage contour optimization network for building outline extraction from remote sensing images Geocarto International Building extraction remote sensing contour attention contour optimization |
| title | A two-stage contour optimization network for building outline extraction from remote sensing images |
| title_full | A two-stage contour optimization network for building outline extraction from remote sensing images |
| title_fullStr | A two-stage contour optimization network for building outline extraction from remote sensing images |
| title_full_unstemmed | A two-stage contour optimization network for building outline extraction from remote sensing images |
| title_short | A two-stage contour optimization network for building outline extraction from remote sensing images |
| title_sort | two stage contour optimization network for building outline extraction from remote sensing images |
| topic | Building extraction remote sensing contour attention contour optimization |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2025.2454940 |
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