DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of View
Digital Surface Model (DSM) is a three-dimensional model presenting the elevation of the Earth’s surface, which can be obtained by the along-track or cross-track stereo images of optical satellites. This paper investigates the DSM extraction method using Gaofen-6 (GF-6) high-resolution (HR) cross-tr...
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MDPI AG
2023-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/7/3497 |
| _version_ | 1797607058408734720 |
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| author | Suqin Yin Ying Zhu Hanyu Hong Tingting Yang Yi Chen Yi Tian |
| author_facet | Suqin Yin Ying Zhu Hanyu Hong Tingting Yang Yi Chen Yi Tian |
| author_sort | Suqin Yin |
| collection | DOAJ |
| description | Digital Surface Model (DSM) is a three-dimensional model presenting the elevation of the Earth’s surface, which can be obtained by the along-track or cross-track stereo images of optical satellites. This paper investigates the DSM extraction method using Gaofen-6 (GF-6) high-resolution (HR) cross-track images with a wide field of view (WFV). To guarantee the elevation accuracy, the relationship between the intersection angle and the overlap of the cross-track images was analyzed. Cross-track images with 20–40% overlaps could be selected to conduct DSM extraction. First, the rational function model (RFM) based on error compensation was used to realize the accurate orientation of the image. Then, the disparity map was generated based on the semi-global block matching (SGBM) algorithm with epipolar constraint. Finally, the DSM was generated by forward intersection. The GF-6 HR cross-track images with about 30% overlap located in Taian, Shandong Province, China, were used for DSM extraction. The results show that the mountainous surface elevation features were retained completely, and the details, such as houses and roads, were presented in valleys and urban areas. The root mean square error (RMSE) of the extracted DSM could reach 6.303 m, 12.879 m, 14.929 m, and 19.043 m in valley, ridge, urban, and peak areas, respectively. The results indicate that the GF-6 HR cross-track images with a certain overlap can be used to extract a DSM to enhance its application in land cover monitoring. |
| first_indexed | 2024-03-11T05:24:58Z |
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| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T05:24:58Z |
| publishDate | 2023-03-01 |
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| series | Sensors |
| spelling | doaj.art-927b3cd28ab24799915f83a0dbb47a892023-11-17T17:33:26ZengMDPI AGSensors1424-82202023-03-01237349710.3390/s23073497DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of ViewSuqin Yin0Ying Zhu1Hanyu Hong2Tingting Yang3Yi Chen4Yi Tian5Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaHubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaHubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaHubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaHubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaHubei Key Laboratory of Optical Information and Pattern Recognition, School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaDigital Surface Model (DSM) is a three-dimensional model presenting the elevation of the Earth’s surface, which can be obtained by the along-track or cross-track stereo images of optical satellites. This paper investigates the DSM extraction method using Gaofen-6 (GF-6) high-resolution (HR) cross-track images with a wide field of view (WFV). To guarantee the elevation accuracy, the relationship between the intersection angle and the overlap of the cross-track images was analyzed. Cross-track images with 20–40% overlaps could be selected to conduct DSM extraction. First, the rational function model (RFM) based on error compensation was used to realize the accurate orientation of the image. Then, the disparity map was generated based on the semi-global block matching (SGBM) algorithm with epipolar constraint. Finally, the DSM was generated by forward intersection. The GF-6 HR cross-track images with about 30% overlap located in Taian, Shandong Province, China, were used for DSM extraction. The results show that the mountainous surface elevation features were retained completely, and the details, such as houses and roads, were presented in valleys and urban areas. The root mean square error (RMSE) of the extracted DSM could reach 6.303 m, 12.879 m, 14.929 m, and 19.043 m in valley, ridge, urban, and peak areas, respectively. The results indicate that the GF-6 HR cross-track images with a certain overlap can be used to extract a DSM to enhance its application in land cover monitoring.https://www.mdpi.com/1424-8220/23/7/3497GF-6 satelliteDSMwide-field high-resolution camerarational function modelprojection trajectory methodsemi-global block matching |
| spellingShingle | Suqin Yin Ying Zhu Hanyu Hong Tingting Yang Yi Chen Yi Tian DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of View Sensors GF-6 satellite DSM wide-field high-resolution camera rational function model projection trajectory method semi-global block matching |
| title | DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of View |
| title_full | DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of View |
| title_fullStr | DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of View |
| title_full_unstemmed | DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of View |
| title_short | DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of View |
| title_sort | dsm extraction based on gaofen 6 satellite high resolution cross track images with wide field of view |
| topic | GF-6 satellite DSM wide-field high-resolution camera rational function model projection trajectory method semi-global block matching |
| url | https://www.mdpi.com/1424-8220/23/7/3497 |
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