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[交流]
【2016-08-01】【SCI】Machine Learning for Remote Sensing
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请看官网链接 https://www.springer.com/cda/con ... -1538971-p35538244. The topics of interest for this special issue include, but are not limited to: Machine Learning theories such as low rank, compressive sensing, sparse coding, transfer learning and deep learning Correlativity analysis for remote sensing image Correlativity analysis for GIS data Reconstruction of remote sensing image Fusion of remote sensing data Classification based on remote sensing image Change detection based on spatial-temporal remote sensing image Sparse representation of remote sensing image Dimension reduction for remote sensing data High performance computing for complex remote sensing data Computing vision and target detection based on remote sensing image Applications based on remote sensing image, such as agriculture, environment, land cover, hydrology and etc. Data visualization and analysis for GIS and remote sensing data |
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