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Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3260448
Abstract: Land use recognition from multispectral satellite images is fundamentally critical for geological applications, but the results are not satisfied. The scale dimension of current multiscale learning is too coarse to account for rich scales in…
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Keywords:
multiscale networks;
multispectral satellite;
classification;
land use ... See more keywords
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Published in 2017 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2017.37
Abstract: Structure-based regression algorithms generally suffer substantive speed losses and have exacting memory requirements compared to their structureless counterparts. Gaussian conditional random field (GCRF) models are one of the most time- and memory-efficient approaches to structured…
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Keywords:
regression;
time;
structured regression;
multiscale networks ... See more keywords