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[交流] 【2016-08-01】【SCI】Machine Learning for Remote Sensing

截稿日期:

2016年8月1日

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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