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- W4285819699 abstract "3D city modeling is a new development trend in cartography that has a lot of practical and scientific value. The project necessitates the extraction of a building footprint using remote sensing images. This research examined how to solve the Building Footprint problem using automatic segmentation methods. We reviewed popular segmentation models as Mask-RCNN, U-net, and U2-net, and developed two multi-models that generated more stable and good results than the single models." @default.
- W4285819699 created "2022-07-19" @default.
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- W4285819699 date "2022-01-01" @default.
- W4285819699 modified "2023-10-14" @default.
- W4285819699 title "Multi Deep Learning Model for Building Footprint Extraction from High Resolution Remote Sensing Image" @default.
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- W4285819699 doi "https://doi.org/10.1007/978-981-19-3394-3_29" @default.
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