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...
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| Published in | GIScience and remote sensing Vol. 59; no. 1; pp. 1199 - 1225 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis
31.12.2022
Taylor & Francis Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1548-1603 1943-7226 1943-7226 |
| DOI | 10.1080/15481603.2022.2101727 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Huang, Xin Wang, Leiguang Tu, Lilin Li, Jiayi Zhang, Tao |
| Author_xml | – sequence: 1 givenname: Jiayi surname: Li fullname: Li, Jiayi organization: Wuhan University – sequence: 2 givenname: Xin surname: Huang fullname: Huang, Xin email: xhuang@whu.edu.cn organization: Wuhan University – sequence: 3 givenname: Lilin surname: Tu fullname: Tu, Lilin organization: Wuhan University – sequence: 4 givenname: Tao surname: Zhang fullname: Zhang, Tao organization: Tianjin Survey and Design Institute Group Co., Ltd – sequence: 5 givenname: Leiguang surname: Wang fullname: Wang, Leiguang organization: Institutes of Big Data and Artificial Intelligence, Southwest Forestry University |
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| Title | A review of building detection from very high resolution optical remote sensing images |
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