Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification.
IEEE Geoscience and Remote Sensing Letters(2017)
摘要
High-resolution satellite imagery has been increasingly used on remote sensing classification problems. One of the main factors is the availability of this kind of data. Despite the high availability, very little effort has been placed on the zebra crossing classification problem. In this letter, crowdsourcing systems are exploited in order to enable the automatic acquisition and annotation of a l...
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关键词
Satellites,Google,Urban areas,Training,Data models,Continents,Roads
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