MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery

26 Oct 2019Qing ZhuCheng LiaoHan HuXiaoming MeiHaifeng Li

Accurately and efficiently extracting building footprints from a wide range of remote sensed imagery remains a challenge due to their complex structure, variety of scales and diverse appearances. Existing convolutional neural network (CNN)-based building extraction methods are complained that they cannot detect the tiny buildings because the spatial information of CNN feature maps are lost during repeated pooling operations of the CNN, and the large buildings still have inaccurate segmentation edges... (read more)

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