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Utilizing unsupervised learning, multi-view imaging, and CNN-based attention facilitates cost-effective wetland mapping

Qiao Hu, Wayne Woldt, Christopher M. U. Neale, Yuzhen Zhou, Jeff Drahota, Dana M. Varner, Andy Bishop, Ted LaGrange, Ligang Zhang, Zhenghong Tang

2021Remote Sensing of Environment30 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceConvolutional neural networkDeep learningSegmentationFeature (linguistics)Multispectral imagePipeline (software)Machine learningPattern recognition (psychology)Programming languageLinguisticsPhilosophyFlood Risk Assessment and ManagementRemote Sensing and LiDAR ApplicationsAutomated Road and Building Extraction
Utilizing unsupervised learning, multi-view imaging, and CNN-based attention facilitates cost-effective wetland mapping | Litcius