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• W2965608468 abstract "Detecting land cover change through very-high-resolution (VHR) remote sensing images is helpful in supporting urban sustainable development, natural disaster evaluation, and environmental assessment. However, the intraclass spectral variance in VHR remote sensing images is usually larger than that of median-low remote sensing images. Furthermore, the bitemporal images are usually acquired under different atmospheric conditions, sun height, soil moisture, and other factors. Consequently, in practical applications, many pseudo changes are presented in the detected map. In this paper, an adaptive histogram trend (AHT) similarity approach is promoted to quantitatively measure the magnitude between the corresponding pixels in bitemporal images in terms of change semantic. In the proposed approach, to reduce the phenological effect on the bitemporal images of land cover change detection (LCCD), we first define the quantitative description of AHT. Second, the change magnitudes between pairwise pixels are quantitatively measured by an improved bin-to-bin (B2B) distance between the corresponding AHTs. Then, the change magnitudes between two entire bitemporal images are measured AHT-by-AHT. Finally, binary threshold methods, such as the Otsu method or the double-window flexible pace search (DFPS) method, are used to divide the change magnitude image into binary change detection maps and obtain the final change detection map. The performance of the AHT-based LCCD approach is verified by four pairs of VHR remote-sensing images that correspond to two types of real land cover change cases. The detected results based on the four pairs of bitemporal VHR images outperformed the compared state-of-the-art LCCD methods." @default.
• W2965608468 created "2019-08-13" @default.
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• W2965608468 date "2019-12-01" @default.
• W2965608468 modified "2023-10-17" @default.
• W2965608468 title "Novel Adaptive Histogram Trend Similarity Approach for Land Cover Change Detection by Using Bitemporal Very-High-Resolution Remote Sensing Images" @default.
• W2965608468 cites W1964069486 @default.
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• W2965608468 cites W1970535395 @default.
• W2965608468 cites W1971203776 @default.
• W2965608468 cites W1972923945 @default.
• W2965608468 cites W1974524700 @default.
• W2965608468 cites W1984792953 @default.
• W2965608468 cites W2001298023 @default.
• W2965608468 cites W2001435354 @default.
• W2965608468 cites W2005314149 @default.
• W2965608468 cites W2012567975 @default.
• W2965608468 cites W2026369235 @default.
• W2965608468 cites W2026642143 @default.
• W2965608468 cites W2030257787 @default.
• W2965608468 cites W2035639988 @default.
• W2965608468 cites W2036798369 @default.
• W2965608468 cites W2042775298 @default.
• W2965608468 cites W2055718260 @default.
• W2965608468 cites W2059080117 @default.
• W2965608468 cites W2067426630 @default.
• W2965608468 cites W2073134030 @default.
• W2965608468 cites W2084818612 @default.
• W2965608468 cites W2085283969 @default.
• W2965608468 cites W2085289201 @default.
• W2965608468 cites W2091499282 @default.
• W2965608468 cites W2098594213 @default.
• W2965608468 cites W2098676252 @default.
• W2965608468 cites W2103079830 @default.
• W2965608468 cites W2106677999 @default.
• W2965608468 cites W2106910805 @default.
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• W2965608468 cites W2119879130 @default.
• W2965608468 cites W2124723853 @default.
• W2965608468 cites W2133003941 @default.
• W2965608468 cites W2133059825 @default.
• W2965608468 cites W2140023211 @default.
• W2965608468 cites W2144552105 @default.
• W2965608468 cites W2149665650 @default.
• W2965608468 cites W2152414269 @default.
• W2965608468 cites W2153633422 @default.
• W2965608468 cites W2155336305 @default.
• W2965608468 cites W2157026765 @default.
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• W2965608468 cites W2161570034 @default.
• W2965608468 cites W2165577558 @default.
• W2965608468 cites W2167093797 @default.
• W2965608468 cites W2167208453 @default.
• W2965608468 cites W2170140722 @default.
• W2965608468 cites W2170260354 @default.
• W2965608468 cites W2233053992 @default.
• W2965608468 cites W2266902344 @default.
• W2965608468 cites W2280565539 @default.
• W2965608468 cites W2286629221 @default.
• W2965608468 cites W2294663525 @default.
• W2965608468 cites W2303475025 @default.
• W2965608468 cites W2310428722 @default.
• W2965608468 cites W2475283175 @default.
• W2965608468 cites W2546570682 @default.
• W2965608468 cites W2562097207 @default.
• W2965608468 cites W2606635696 @default.
• W2965608468 cites W2614297574 @default.
• W2965608468 cites W2618882272 @default.
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• W2965608468 cites W2767043538 @default.
• W2965608468 cites W2767112898 @default.
• W2965608468 cites W2784391488 @default.
• W2965608468 cites W2790088790 @default.
• W2965608468 cites W2790898247 @default.
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• W2965608468 doi "https://doi.org/10.1109/tgrs.2019.2927659" @default.
• W2965608468 hasPublicationYear "2019" @default.
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