A six-channel PSPNet with overlapping tiles produced a Guangdong Province land-use map with 81.52% overall accuracy in 13 hours of inference.
A spectral-structural bag- of-features scene classifier for very high spatial re solution remote sensing imagery,
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A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning
A six-channel PSPNet with overlapping tiles produced a Guangdong Province land-use map with 81.52% overall accuracy in 13 hours of inference.