CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions

International Journal of Applied Earth Observation and Geoinformation(2022)

引用 6|浏览13
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摘要
•Planet satellite imagery is utilized for building mapping in less developed regions (e.g., cities in Africa)•A co-segmentation learning framework is proposed to tackle the problem of insufficient labeled samples in target cities for the task of building footprint generation•A cross-geolocation attention module is proposed to effectively learn the underlying similarity between different geolocations
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关键词
Building footprint,Semantic segmentation,Convolutional neural network,Co-segmentation,Planet satellite
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