Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer Imagery
Earth observation by remote sensing plays a crucial role in granite extraction, and many current studies use thermal infrared data from sensors such as ASTER. The challenge lies in the low spatial resolution of these satellites, hindering precise rock type identification. A breakthrough emerges with...
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MDPI AG
2024-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/6/1750 |
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| author | Boqi Yuan Qinjun Wang Jingyi Yang Wentao Xu Chaokang He |
| author_facet | Boqi Yuan Qinjun Wang Jingyi Yang Wentao Xu Chaokang He |
| author_sort | Boqi Yuan |
| collection | DOAJ |
| description | Earth observation by remote sensing plays a crucial role in granite extraction, and many current studies use thermal infrared data from sensors such as ASTER. The challenge lies in the low spatial resolution of these satellites, hindering precise rock type identification. A breakthrough emerges with the Thermal Infrared Spectrometer (TIS) on the Sustainable Development Science Satellite 1 (SDGSAT-1) launched by the Chinese Academy of Sciences. With an exceptional 30 m spatial resolution, SDGSAT-1 TIS opens avenues for accurate granite extraction using remote sensing. This study, exemplified in Xinjiang’s Karamay region, introduces the BR-ISauvola method, leveraging SDGSAT-1 TIS data. The approach combines band ratio with adaptive k-value selection using local grayscale statistical features for Sauvola thresholding. Focused on large-scale granite extraction, results show F1 scores above 70% for Otsu, Sauvola, and BR-ISauvola. Notably, BR-ISauvola achieves the highest accuracy at 82.11%, surpassing Otsu and Sauvola by 9.62% and 0.34%, respectively. This underscores the potential of SDGSAT-1 TIS data as a valuable resource for granite extraction. The proposed method efficiently utilizes spectral information, presenting a novel approach for rapid granite extraction using remote sensing TIS imagery, even in scenarios with low spectral resolution and a single data source. |
| first_indexed | 2024-04-24T17:50:41Z |
| format | Article |
| id | doaj.art-893b8c38219e41d3b848df79dc01a6e3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T17:50:41Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-893b8c38219e41d3b848df79dc01a6e32024-03-27T14:03:40ZengMDPI AGSensors1424-82202024-03-01246175010.3390/s24061750Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer ImageryBoqi Yuan0Qinjun Wang1Jingyi Yang2Wentao Xu3Chaokang He4Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaEarth observation by remote sensing plays a crucial role in granite extraction, and many current studies use thermal infrared data from sensors such as ASTER. The challenge lies in the low spatial resolution of these satellites, hindering precise rock type identification. A breakthrough emerges with the Thermal Infrared Spectrometer (TIS) on the Sustainable Development Science Satellite 1 (SDGSAT-1) launched by the Chinese Academy of Sciences. With an exceptional 30 m spatial resolution, SDGSAT-1 TIS opens avenues for accurate granite extraction using remote sensing. This study, exemplified in Xinjiang’s Karamay region, introduces the BR-ISauvola method, leveraging SDGSAT-1 TIS data. The approach combines band ratio with adaptive k-value selection using local grayscale statistical features for Sauvola thresholding. Focused on large-scale granite extraction, results show F1 scores above 70% for Otsu, Sauvola, and BR-ISauvola. Notably, BR-ISauvola achieves the highest accuracy at 82.11%, surpassing Otsu and Sauvola by 9.62% and 0.34%, respectively. This underscores the potential of SDGSAT-1 TIS data as a valuable resource for granite extraction. The proposed method efficiently utilizes spectral information, presenting a novel approach for rapid granite extraction using remote sensing TIS imagery, even in scenarios with low spectral resolution and a single data source.https://www.mdpi.com/1424-8220/24/6/1750KaramaySDGSAT-1 TISgranite extractionband ratioSauvola threshold |
| spellingShingle | Boqi Yuan Qinjun Wang Jingyi Yang Wentao Xu Chaokang He Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer Imagery Sensors Karamay SDGSAT-1 TIS granite extraction band ratio Sauvola threshold |
| title | Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer Imagery |
| title_full | Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer Imagery |
| title_fullStr | Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer Imagery |
| title_full_unstemmed | Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer Imagery |
| title_short | Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer Imagery |
| title_sort | granite extraction based on the sdgsat 1 satellite thermal infrared spectrometer imagery |
| topic | Karamay SDGSAT-1 TIS granite extraction band ratio Sauvola threshold |
| url | https://www.mdpi.com/1424-8220/24/6/1750 |
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