Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery
High-resolution remote sensing image building target detection has wide application value in the fields of land planning, geographic monitoring, smart cities and other fields. However, due to the complex background of remote sensing imagery, some detailed features of building targets are less distin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-10-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/14/10/300 |
| _version_ | 1797515552326942720 |
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| author | Yong Mei Hao Chen Shuting Yang |
| author_facet | Yong Mei Hao Chen Shuting Yang |
| author_sort | Yong Mei |
| collection | DOAJ |
| description | High-resolution remote sensing image building target detection has wide application value in the fields of land planning, geographic monitoring, smart cities and other fields. However, due to the complex background of remote sensing imagery, some detailed features of building targets are less distinguishable from the background. When carrying out the detection task, it is prone to problems such as distortion and the missing of the building outline. To address this challenge, we developed a novel building target detection method. First, a building detection method based on rectangular approximation and region growth was proposed, and a saliency detection model based on the foreground compactness and local contrast of manifold ranking is used to obtain the saliency map of the building region. Then, the boundary prior saliency detection method based on the improved manifold ranking algorithm was proposed for the target area of buildings with low contrast with the background in remote sensing imagery. Finally, fusing the results of the rectangular approximation-based and saliency-based detection, the proposed fusion method improved the Recall and F1 value of building detection, indicating that this paper provides an effective and efficient high-resolution remote sensing image building target detection method. |
| first_indexed | 2024-03-10T06:47:00Z |
| format | Article |
| id | doaj.art-27eaba03be4d4bb7a9ce134595705346 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-10T06:47:00Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-27eaba03be4d4bb7a9ce1345957053462023-11-22T17:08:35ZengMDPI AGAlgorithms1999-48932021-10-01141030010.3390/a14100300Research on Building Target Detection Based on High-Resolution Optical Remote Sensing ImageryYong Mei0Hao Chen1Shuting Yang2Institute of Defense Engineering, AMS, Beijing 100036, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150006, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150006, ChinaHigh-resolution remote sensing image building target detection has wide application value in the fields of land planning, geographic monitoring, smart cities and other fields. However, due to the complex background of remote sensing imagery, some detailed features of building targets are less distinguishable from the background. When carrying out the detection task, it is prone to problems such as distortion and the missing of the building outline. To address this challenge, we developed a novel building target detection method. First, a building detection method based on rectangular approximation and region growth was proposed, and a saliency detection model based on the foreground compactness and local contrast of manifold ranking is used to obtain the saliency map of the building region. Then, the boundary prior saliency detection method based on the improved manifold ranking algorithm was proposed for the target area of buildings with low contrast with the background in remote sensing imagery. Finally, fusing the results of the rectangular approximation-based and saliency-based detection, the proposed fusion method improved the Recall and F1 value of building detection, indicating that this paper provides an effective and efficient high-resolution remote sensing image building target detection method.https://www.mdpi.com/1999-4893/14/10/300optical remote sensing imagesbuilding target detectionsaliency modeldata fusion |
| spellingShingle | Yong Mei Hao Chen Shuting Yang Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery Algorithms optical remote sensing images building target detection saliency model data fusion |
| title | Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery |
| title_full | Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery |
| title_fullStr | Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery |
| title_full_unstemmed | Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery |
| title_short | Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery |
| title_sort | research on building target detection based on high resolution optical remote sensing imagery |
| topic | optical remote sensing images building target detection saliency model data fusion |
| url | https://www.mdpi.com/1999-4893/14/10/300 |
| work_keys_str_mv | AT yongmei researchonbuildingtargetdetectionbasedonhighresolutionopticalremotesensingimagery AT haochen researchonbuildingtargetdetectionbasedonhighresolutionopticalremotesensingimagery AT shutingyang researchonbuildingtargetdetectionbasedonhighresolutionopticalremotesensingimagery |