期刊
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
卷 18, 期 -, 页码 23-36出版社
ELSEVIER
DOI: 10.1016/j.jag.2012.01.003
关键词
Thermal remote sensing; Sharpening; Downscaling; Land surface temperature; Multi-resolution; Multi-spectral
资金
- National Natural Science Foundation of China [41071258]
- State Key Laboratory of Earth Surface Processes and Resource Ecology [2010-ZY-06]
- Specialized Research Fund for the Doctoral Program of Higher Education [20100003110018]
- Fundamental Research Funds for the Central Universities of China
Land surface temperature (LST) plays an important role in many fields. However, the limited spatial resolution of current thermal sensors impedes the utilization of LSTs. Based on a theoretical framework of thermal sharpening, this report presents an Enhanced Generalized Theoretical Framework (EGTF) to downscale LSTs using multi-spectral (MS) and multi-resolution images. MS proxy-sharpening and LST downscaling are combined under EGTF. Simulated images upscaled from Enhanced Thematic Mapper Plus (ETM+) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data are produced for indirect validations. Validation of MS proxy-sharpening shows that EGTF is better than the Gram-Schmidt (GS) and the Principle Component (PC) methods, yielding a lower root mean square error (RMSE) and ERGAS (erreur relative globale adimensionnelle de synthese) and, thus, maintaining higher spectral similarity. For LST downscaling. validations show that EGTF has a higher accuracy than the Unmixing-Based Image Fusion (UBIF) method and indicate that the proxy-sharpening process improves the accuracy of downscaled LSTs. Further discussions regarding the selection of the moving-window size (MWS) demonstrate that the MWS could be determined by the range in a semi-variance analysis of scaling factor images. (C) 2012 Elsevier B.V. All rights reserved.
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