Blocks-removed spatial unmixing for downscaling MODIS images
نویسندگان
چکیده
The Terra/Aqua MODerate resolution Imaging Spectroradiometer (MODIS) data have been used widely for global monitoring of the Earth's surface due to their daily fine temporal resolution. spatial MODIS time-series (i.e., 500 m), however, is too coarse local monitoring. A feasible solution this problem downscale images, thus creating images with both and resolutions. Generally, downscaling can be achieved by fusing them (e.g., Landsat images) using spatio-temporal fusion methods. Among families methods, unmixing-based methods applied owing lighter dependence on available images. However, all techniques within class method suffer from same serious problem, that is, block effect, which reduces prediction accuracy fusion. To our knowledge, almost no has developed tackle issue directly. address need, paper proposes a blocks-removed unmixing (SU-BR) method, removes blocky artifacts including new constraint constructed based continuity. SU-BR provides flexible framework suitable any existing method. Experimental results heterogeneous region, homogeneous region experiencing land cover changes show blocks effectively increases obviously in three regions. also outperforms two popular SU-BR, thus, crucial overcome one longest standing challenges
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a Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong b Faculty of Science and Technology, Engineering Building, Lancaster University, Lancaster LA1 4YR, UK c Faculty of Geosciences, University of Utrecht, Heidelberglaan 2, 3584 CS Utrecht, The Netherlands d School of Geography, Archaeology and Palaeoecology, Queen's University Belfast, BT7...
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2021
ISSN: ['0034-4257', '1879-0704']
DOI: https://doi.org/10.1016/j.rse.2021.112325