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Remote Sensing Based Building Extraction II

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building extraction; high-resolution remote-sensing image; semantic edge detection; semantic segmentation; building footprint; map vectorization; convolutional neural network; airborne LiDAR; graph segmentation; object primitive; geometric feature; road extraction; high-resolution image; hyperspectral image; synthetic aperture radar (SAR); light detection and ranging (LiDAR); farmland range; attention enhancement; U-Net network improvement; multi-source remote sensing image; building model; reconstruction; half-space; LiDAR data; urban scale; interactive segmentation network; deep learning; iterative training; remote sensing images; spatial attention; global information awareness; cross level information fusion; dense matching; convolutional neural networks; end-to-end; pyramid architecture; building reconstruction; LiDAR; point clouds; integer programming; airborne Earth observation; ultrahigh spatial resolution; instance segmentation; fully convolutional neural networks; roofscape; remote sensing building extraction; building photovoltaic; self-supervised learning; n/a

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libros

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Suiza