A comprehensive review of spatial-temporal-spectral information reconstruction techniques
Fine spatial resolution remote sensing images are crucial sources of data for monitoring the Earth's surface. Due to defects in sensors and the complicated imaging environment, however, fine spatial resolution images always suffer from various degrees of information loss. According to the basic...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Science of Remote Sensing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666017223000275 |
| _version_ | 1827593568897728512 |
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| author | Qunming Wang Yijie Tang Yong Ge Huan Xie Xiaohua Tong Peter M. Atkinson |
| author_facet | Qunming Wang Yijie Tang Yong Ge Huan Xie Xiaohua Tong Peter M. Atkinson |
| author_sort | Qunming Wang |
| collection | DOAJ |
| description | Fine spatial resolution remote sensing images are crucial sources of data for monitoring the Earth's surface. Due to defects in sensors and the complicated imaging environment, however, fine spatial resolution images always suffer from various degrees of information loss. According to the basic attributes of remote sensing images, the information loss generally falls into three dimensions, that is, the spatial, temporal and spectral dimensions. In recent decades, many methods have been developed to cope with this information loss problem in the three dimensions, which are termed spatial reconstruction, temporal reconstruction and spectral reconstruction in this paper. This paper presents a comprehensive review of all three types of reconstruction. First, a systematic introduction and review of the achievements is provided, including the refined general mathematical framework and diagram for each of the three parts. Second, the applications in various areas (e.g., meteorology, ecology and environmental science) are introduced. Third, the challenges and recent advances of spatial-temporal-spectral information reconstruction are summarized, such as the efforts for dealing with abrupt land cover changes in spatial reconstruction, inconsistency in multi-scale data acquired by different sensors in temporal reconstruction, and point spread function (PSF) effect in spectral reconstruction. Finally, several thoughts are given for future prospects. |
| first_indexed | 2024-03-09T02:13:32Z |
| format | Article |
| id | doaj.art-48e53fbc40b349e3a10d6ced8e537638 |
| institution | Directory Open Access Journal |
| issn | 2666-0172 |
| language | English |
| last_indexed | 2024-03-09T02:13:32Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Science of Remote Sensing |
| spelling | doaj.art-48e53fbc40b349e3a10d6ced8e5376382023-12-07T05:30:19ZengElsevierScience of Remote Sensing2666-01722023-12-018100102A comprehensive review of spatial-temporal-spectral information reconstruction techniquesQunming Wang0Yijie Tang1Yong Ge2Huan Xie3Xiaohua Tong4Peter M. Atkinson5College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China; Corresponding author.College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, ChinaCollege of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, ChinaCollege of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China; Corresponding author.Faculty of Science and Technology, Lancaster University, Lancaster, LA1 4YR, UK; Geography and Environment, University of Southampton, Highfield, Southampton, SO17 1BJ, UKFine spatial resolution remote sensing images are crucial sources of data for monitoring the Earth's surface. Due to defects in sensors and the complicated imaging environment, however, fine spatial resolution images always suffer from various degrees of information loss. According to the basic attributes of remote sensing images, the information loss generally falls into three dimensions, that is, the spatial, temporal and spectral dimensions. In recent decades, many methods have been developed to cope with this information loss problem in the three dimensions, which are termed spatial reconstruction, temporal reconstruction and spectral reconstruction in this paper. This paper presents a comprehensive review of all three types of reconstruction. First, a systematic introduction and review of the achievements is provided, including the refined general mathematical framework and diagram for each of the three parts. Second, the applications in various areas (e.g., meteorology, ecology and environmental science) are introduced. Third, the challenges and recent advances of spatial-temporal-spectral information reconstruction are summarized, such as the efforts for dealing with abrupt land cover changes in spatial reconstruction, inconsistency in multi-scale data acquired by different sensors in temporal reconstruction, and point spread function (PSF) effect in spectral reconstruction. Finally, several thoughts are given for future prospects.http://www.sciencedirect.com/science/article/pii/S2666017223000275Spatial reconstructionCloud removalTemporal reconstructionSpatio-temporal fusionSpectral reconstructionSpatio-spectral fusion |
| spellingShingle | Qunming Wang Yijie Tang Yong Ge Huan Xie Xiaohua Tong Peter M. Atkinson A comprehensive review of spatial-temporal-spectral information reconstruction techniques Science of Remote Sensing Spatial reconstruction Cloud removal Temporal reconstruction Spatio-temporal fusion Spectral reconstruction Spatio-spectral fusion |
| title | A comprehensive review of spatial-temporal-spectral information reconstruction techniques |
| title_full | A comprehensive review of spatial-temporal-spectral information reconstruction techniques |
| title_fullStr | A comprehensive review of spatial-temporal-spectral information reconstruction techniques |
| title_full_unstemmed | A comprehensive review of spatial-temporal-spectral information reconstruction techniques |
| title_short | A comprehensive review of spatial-temporal-spectral information reconstruction techniques |
| title_sort | comprehensive review of spatial temporal spectral information reconstruction techniques |
| topic | Spatial reconstruction Cloud removal Temporal reconstruction Spatio-temporal fusion Spectral reconstruction Spatio-spectral fusion |
| url | http://www.sciencedirect.com/science/article/pii/S2666017223000275 |
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