A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images
Airborne hyperspectral imaging plays an increasingly important role in environmental monitoring. However, due to the limitations of the acquisition conditions, there are uneven radiation and chromatic aberrations in the mosaic data. Accurate preprocessing of the original data is the premise of quali...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/7/1828 |
| _version_ | 1797607129733922816 |
|---|---|
| author | Yibo Zhao Yu Tian Shaogang Lei Yuanyuan Li Xia Hua Dong Guo Chuning Ji |
| author_facet | Yibo Zhao Yu Tian Shaogang Lei Yuanyuan Li Xia Hua Dong Guo Chuning Ji |
| author_sort | Yibo Zhao |
| collection | DOAJ |
| description | Airborne hyperspectral imaging plays an increasingly important role in environmental monitoring. However, due to the limitations of the acquisition conditions, there are uneven radiation and chromatic aberrations in the mosaic data. Accurate preprocessing of the original data is the premise of qualitative and quantitative remote sensing. In this study, we proposed a comprehensive radiation distortion correction method that integrates radiation attenuation difference correction, topographic correction, and multi-strip images consistency adjustment (RA-TOC-CA). First, the radiation attenuation equation was constructed by combining the viewing geometry, terrain, and the elevation difference between the UAV and the ground to eliminate the radiation attenuation difference of pixels acquired at the different instantaneous field of view (IFOV). Second, an improved kernel-driven BRDF model was built combining terrain information and illumination-viewing (flight attitude and sensor IFOV) geometry to eliminate the radiation unevenness and BRDF distortion caused by topography. Third, adjusting the reflectance of multi-strip images according to the homonymous points’ reflectance of adjacent strips should be equal, eliminating the radiation differences between multiple strips. Based on multi-strip airborne hyperspectral images collected in the Shaanxi province of China, the correction results of the RA-TOC-CA method were compared with those of the SCS+C and Minnaert+SCS methods regarding various evaluation criteria. The results showed that SCS+C and Minnaert+SCS can reduce the topographic effect but cannot eliminate the reflectance difference at the edges of adjacent images, and SCS+C overcorrects the reflectance. RA-TOC-CA weakened the topographic effects and brightness gradient, which was physically stable and generalizable. Compared with previous studies, RA-TOC-CA provided a complete radiation distortion correction method for airborne hyperspectral images and had a solid theoretical basis. This study introduces an effective method for radiation distortion correction of airborne hyperspectral images and provides technical support for large-scale applications of hyperspectral images. |
| first_indexed | 2024-03-11T05:25:54Z |
| format | Article |
| id | doaj.art-8219f5f4a35642c7a3945950f55f5cf3 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T05:25:54Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-8219f5f4a35642c7a3945950f55f5cf32023-11-17T17:29:36ZengMDPI AGRemote Sensing2072-42922023-03-01157182810.3390/rs15071828A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral ImagesYibo Zhao0Yu Tian1Shaogang Lei2Yuanyuan Li3Xia Hua4Dong Guo5Chuning Ji6Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, ChinaEngineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, ChinaEngineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, ChinaEngineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, ChinaEngineering Research Center for Coal Mining Subsided Land and Goaf Treatment of Shandong, Jining 272000, ChinaEngineering Research Center for Coal Mining Subsided Land and Goaf Treatment of Shandong, Jining 272000, ChinaEngineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, ChinaAirborne hyperspectral imaging plays an increasingly important role in environmental monitoring. However, due to the limitations of the acquisition conditions, there are uneven radiation and chromatic aberrations in the mosaic data. Accurate preprocessing of the original data is the premise of qualitative and quantitative remote sensing. In this study, we proposed a comprehensive radiation distortion correction method that integrates radiation attenuation difference correction, topographic correction, and multi-strip images consistency adjustment (RA-TOC-CA). First, the radiation attenuation equation was constructed by combining the viewing geometry, terrain, and the elevation difference between the UAV and the ground to eliminate the radiation attenuation difference of pixels acquired at the different instantaneous field of view (IFOV). Second, an improved kernel-driven BRDF model was built combining terrain information and illumination-viewing (flight attitude and sensor IFOV) geometry to eliminate the radiation unevenness and BRDF distortion caused by topography. Third, adjusting the reflectance of multi-strip images according to the homonymous points’ reflectance of adjacent strips should be equal, eliminating the radiation differences between multiple strips. Based on multi-strip airborne hyperspectral images collected in the Shaanxi province of China, the correction results of the RA-TOC-CA method were compared with those of the SCS+C and Minnaert+SCS methods regarding various evaluation criteria. The results showed that SCS+C and Minnaert+SCS can reduce the topographic effect but cannot eliminate the reflectance difference at the edges of adjacent images, and SCS+C overcorrects the reflectance. RA-TOC-CA weakened the topographic effects and brightness gradient, which was physically stable and generalizable. Compared with previous studies, RA-TOC-CA provided a complete radiation distortion correction method for airborne hyperspectral images and had a solid theoretical basis. This study introduces an effective method for radiation distortion correction of airborne hyperspectral images and provides technical support for large-scale applications of hyperspectral images.https://www.mdpi.com/2072-4292/15/7/1828airborne hyperspectralradiation distortion correctionradiation attenuationtopographic correction |
| spellingShingle | Yibo Zhao Yu Tian Shaogang Lei Yuanyuan Li Xia Hua Dong Guo Chuning Ji A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images Remote Sensing airborne hyperspectral radiation distortion correction radiation attenuation topographic correction |
| title | A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images |
| title_full | A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images |
| title_fullStr | A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images |
| title_full_unstemmed | A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images |
| title_short | A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images |
| title_sort | comprehensive correction method for radiation distortion of multi strip airborne hyperspectral images |
| topic | airborne hyperspectral radiation distortion correction radiation attenuation topographic correction |
| url | https://www.mdpi.com/2072-4292/15/7/1828 |
| work_keys_str_mv | AT yibozhao acomprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT yutian acomprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT shaoganglei acomprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT yuanyuanli acomprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT xiahua acomprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT dongguo acomprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT chuningji acomprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT yibozhao comprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT yutian comprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT shaoganglei comprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT yuanyuanli comprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT xiahua comprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT dongguo comprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages AT chuningji comprehensivecorrectionmethodforradiationdistortionofmultistripairbornehyperspectralimages |