首页|Researcher from Zhejiang University Describes Findings in Machine Learning (A Li ghtweight Machine-Learning Method for Cloud Removal in Remote Sensing Images Con strained by Conditional Information)
Researcher from Zhejiang University Describes Findings in Machine Learning (A Li ghtweight Machine-Learning Method for Cloud Removal in Remote Sensing Images Con strained by Conditional Information)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting out of Hangzhou, People's Re public of China, by NewsRx editors, research stated, "Reconstructing cloud-cover ed regions in remote sensing (RS) images holds great promise for continuous grou nd object monitoring." Financial supporters for this research include National Natural Science Foundati on of China. Our news editors obtained a quote from the research from Zhejiang University: "A novel lightweight machine-learning method for cloud removal constrained by cond itional information (SMLP-CR) is proposed. SMLP-CR constructs a multilayer perce ptron with a presingle-connection layer (SMLP) based on multisource conditional information. The method employs multi-scale mean filtering and local neighborhoo d sampling to gain spatial information while also taking into account multi-spec tral and multi-temporal information as well as pixel similarity. Meanwhile, the feature importance from the SMLP provides a selection order for conditional info rmation-homologous images are prioritized over images from the same season as th e restoration image, and images with close temporal distances rank last."
Zhejiang UniversityHangzhouPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRemot e Sensing
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