A Spatio-Temporal Pixel-Swapping Algorithm for Subpixel Land Cover Mapping
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AbstractThe aim of this letter is to present a spatio-temporal pixel-swapping algorithm (STPSA), based on conventional pixel-swapping algorithms (PSAs), in which both spatial and temporal contextual information from previous land cover maps or observed samples are well integrated and utilized to improve subpixel mapping accuracy. Unlike conventional pixel-swapping algorithms, STPSA is capable of utilizing prior information, which was previously ignored, to predict the attractiveness based on pairs of subpixels. This algorithm involves three main steps and operates in an iterative manner: 1) it predicts the maximum and minimum attractiveness of each pair of pixels; 2) ranks the swapping scores based on the attractiveness of all the pairs; and 3) swaps the locations of the pair of pixels with a maximum score to increase the objective function. Experiments with actual satellite images have demonstrated that the proposed algorithm performs better than other algorithms. In comparison, the proposed STPSA's better performance is due to the fact that prior information used in other algorithms is restricted to a percentage level rather than the real subpixel level.
All Author(s) ListXu Y, Huang B
Journal nameIEEE Geoscience and Remote Sensing Letters
Volume Number11
Issue Number2
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages474 - 478
LanguagesEnglish-United Kingdom
KeywordsLand cover mapping; pixel swapping; spatial and temporal information; subpixel
Web of Science Subject CategoriesEngineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC; Geochemistry & Geophysics; GEOCHEMISTRY & GEOPHYSICS; Imaging Science & Photographic Technology; Remote Sensing; REMOTE SENSING

Last updated on 2021-18-09 at 23:57