期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 12, 期 12, 页码 2359-2363出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2015.2453999
关键词
Improved adaptive intensity-hue-saturation (IAIHS); land cover classification; spatiotemporal-spectral fusion; spatial and temporal adaptive reflectance fusion model (STARFM)
类别
资金
- Ministry of Science and Technology of China under National Research Programs [2012AA12A407, 2012CB955501, 2013AA122003]
- National Natural Science Foundation of China [41271099, 41371417]
There is currently no unified remote sensing system available that can simultaneously produce images with fine spatial, temporal, and spectral resolutions. This letter proposes a unified spatiotemporal spectral blending model using Landsat Enhanced Thematic Mapper Plus and Moderate Resolution Imaging Spectroradiometer images to predict synthetic daily Landsat-like data with a 15-m resolution. The results of tests using both simulated and actual data over the Poyang Lake Nature Reserve show that the model can accurately capture the general trend of changes for the predicted period and can enhance the spatial resolution of the data, while at the same time preserving the original spectral information. The proposed model is also applied to improve land cover classification accuracy. The application in Wuhan, Hubei Province shows that the overall classification accuracy is markedly improved. With the integration of dense temporal characteristics, the user and producer accuracies for land cover types are also improved.
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