A review of building detection from very high resolution optical remote sensing images
Building detection from very high resolution (VHR) optical remote sensing images, which is an essential but challenging task in remote sensing, has attracted increased attention in recent years. However, despite the many methods that have been developed, an in-depth review of the recent literature o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15481603.2022.2101727 |
| _version_ | 1797679002880573440 |
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| author | Jiayi Li Xin Huang Lilin Tu Tao Zhang Leiguang Wang |
| author_facet | Jiayi Li Xin Huang Lilin Tu Tao Zhang Leiguang Wang |
| author_sort | Jiayi Li |
| collection | DOAJ |
| description | Building detection from very high resolution (VHR) optical remote sensing images, which is an essential but challenging task in remote sensing, has attracted increased attention in recent years. However, despite the many methods that have been developed, an in-depth review of the recent literature on building extraction from VHR optical images is still lacking. In this article, we present a comprehensive review of the recent advances (since 2000) in this field. In total, we survey and summarize 417 articles in terms of the building detection method, post-processing, and accuracy assessment. The building detection methods are categorized into physical rule based methods, image segmentation based methods, and traditional and advanced machine learning (i.e. deep learning) methods. Furthermore, four promising related research directions of building polygon delineation, building change detection, building type classification, and height retrieval from monocular optical images are also discussed. Overall, building detection from VHR optical images is a popular research topic that has received extensive attention, due to its great significance. It is hoped that this review will help researchers to have a better understanding of this topic, and thus assist them to conduct related work. |
| first_indexed | 2024-03-11T23:08:05Z |
| format | Article |
| id | doaj.art-0f058b6c55fc4ea6b99ae0828bf6f196 |
| institution | Directory Open Access Journal |
| issn | 1548-1603 1943-7226 |
| language | English |
| last_indexed | 2024-03-11T23:08:05Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj.art-0f058b6c55fc4ea6b99ae0828bf6f1962023-09-21T12:43:08ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262022-12-015911199122510.1080/15481603.2022.21017272101727A review of building detection from very high resolution optical remote sensing imagesJiayi Li0Xin Huang1Lilin Tu2Tao Zhang3Leiguang Wang4Wuhan UniversityWuhan UniversityWuhan UniversityTianjin Survey and Design Institute Group Co., LtdInstitutes of Big Data and Artificial Intelligence, Southwest Forestry UniversityBuilding detection from very high resolution (VHR) optical remote sensing images, which is an essential but challenging task in remote sensing, has attracted increased attention in recent years. However, despite the many methods that have been developed, an in-depth review of the recent literature on building extraction from VHR optical images is still lacking. In this article, we present a comprehensive review of the recent advances (since 2000) in this field. In total, we survey and summarize 417 articles in terms of the building detection method, post-processing, and accuracy assessment. The building detection methods are categorized into physical rule based methods, image segmentation based methods, and traditional and advanced machine learning (i.e. deep learning) methods. Furthermore, four promising related research directions of building polygon delineation, building change detection, building type classification, and height retrieval from monocular optical images are also discussed. Overall, building detection from VHR optical images is a popular research topic that has received extensive attention, due to its great significance. It is hoped that this review will help researchers to have a better understanding of this topic, and thus assist them to conduct related work.http://dx.doi.org/10.1080/15481603.2022.2101727building detectionbuilding extractionmachine learningdata fusionremote sensing |
| spellingShingle | Jiayi Li Xin Huang Lilin Tu Tao Zhang Leiguang Wang A review of building detection from very high resolution optical remote sensing images GIScience & Remote Sensing building detection building extraction machine learning data fusion remote sensing |
| title | A review of building detection from very high resolution optical remote sensing images |
| title_full | A review of building detection from very high resolution optical remote sensing images |
| title_fullStr | A review of building detection from very high resolution optical remote sensing images |
| title_full_unstemmed | A review of building detection from very high resolution optical remote sensing images |
| title_short | A review of building detection from very high resolution optical remote sensing images |
| title_sort | review of building detection from very high resolution optical remote sensing images |
| topic | building detection building extraction machine learning data fusion remote sensing |
| url | http://dx.doi.org/10.1080/15481603.2022.2101727 |
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