Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11
Accurately detecting the patterns of building groups is the premise and foundation of building generalization. Due to the fuzziness and uncertainty of building patterns, it is difficult to describe them with unified rules, making this issue a key and challenging research focus in the field of cartog...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2471914 |
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| _version_ | 1849719414530768896 |
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| author | Xiao Wang Yue Wu Longfei Cui Haizhong Qian Bohao Li Xu Wang |
| author_facet | Xiao Wang Yue Wu Longfei Cui Haizhong Qian Bohao Li Xu Wang |
| author_sort | Xiao Wang |
| collection | DOAJ |
| description | Accurately detecting the patterns of building groups is the premise and foundation of building generalization. Due to the fuzziness and uncertainty of building patterns, it is difficult to describe them with unified rules, making this issue a key and challenging research focus in the field of cartographic generalization, which limits the level of automation in building generalization. With the development of artificial intelligence, object detection models have made significant progress in image classification and segmentation. This paper introduces the YOLO11 object detection model to achieve the detection of building groups with linear patterns by integrating the dynamic snake convolution (DSC) which is used to enhance the feature extraction capability. Experimental results show that the improved YOLO11-DSC model has better performance compared to the original YOLO11 and another two commonly used strategies (improving with CBAM, AKConv). At last, a typification example is given based on the detected linear patterns which demonstrates the usability in generalization. |
| format | Article |
| id | doaj-art-541f080370644d599c97643e91cd00d6 |
| institution | DOAJ |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-541f080370644d599c97643e91cd00d62025-08-20T03:12:09ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2025.2471914Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11Xiao Wang0Yue Wu1Longfei Cui2Haizhong Qian3Bohao Li4Xu Wang5Institute of Geospatial Information, Information Engineering University, Zhengzhou, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou, ChinaAccurately detecting the patterns of building groups is the premise and foundation of building generalization. Due to the fuzziness and uncertainty of building patterns, it is difficult to describe them with unified rules, making this issue a key and challenging research focus in the field of cartographic generalization, which limits the level of automation in building generalization. With the development of artificial intelligence, object detection models have made significant progress in image classification and segmentation. This paper introduces the YOLO11 object detection model to achieve the detection of building groups with linear patterns by integrating the dynamic snake convolution (DSC) which is used to enhance the feature extraction capability. Experimental results show that the improved YOLO11-DSC model has better performance compared to the original YOLO11 and another two commonly used strategies (improving with CBAM, AKConv). At last, a typification example is given based on the detected linear patterns which demonstrates the usability in generalization.https://www.tandfonline.com/doi/10.1080/10106049.2025.2471914Cartographic generalizationbuilding grouplinear patternYOLO11dynamic snake convolution (DSC) |
| spellingShingle | Xiao Wang Yue Wu Longfei Cui Haizhong Qian Bohao Li Xu Wang Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 Geocarto International Cartographic generalization building group linear pattern YOLO11 dynamic snake convolution (DSC) |
| title | Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 |
| title_full | Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 |
| title_fullStr | Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 |
| title_full_unstemmed | Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 |
| title_short | Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 |
| title_sort | linear pattern detection of building groups by integrating dynamic snake convolution with yolo11 |
| topic | Cartographic generalization building group linear pattern YOLO11 dynamic snake convolution (DSC) |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2025.2471914 |
| work_keys_str_mv | AT xiaowang linearpatterndetectionofbuildinggroupsbyintegratingdynamicsnakeconvolutionwithyolo11 AT yuewu linearpatterndetectionofbuildinggroupsbyintegratingdynamicsnakeconvolutionwithyolo11 AT longfeicui linearpatterndetectionofbuildinggroupsbyintegratingdynamicsnakeconvolutionwithyolo11 AT haizhongqian linearpatterndetectionofbuildinggroupsbyintegratingdynamicsnakeconvolutionwithyolo11 AT bohaoli linearpatterndetectionofbuildinggroupsbyintegratingdynamicsnakeconvolutionwithyolo11 AT xuwang linearpatterndetectionofbuildinggroupsbyintegratingdynamicsnakeconvolutionwithyolo11 |