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【2016-06-01】【SCI 检索】Machine Learning Methods for Remote Sensing Image
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2016-06-01

Springer系列SCI期刊 “Multimedia Tools and Applications”的专刊,不交版面费,已经可以投稿。有任何疑问请回复此贴咨询。

Multimedia Tools and Applications:Special Issue on
Advanced Machine Learning Methods for Remote Sensing Image Processing

Guest Editors
Peng Liu, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, P.R. China,?liupeng@radi.ac.cn
Lizhe Wang, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, P.R. China,?Lizhe.Wang@computer.org


The topics of interest for this special issue include, but are not limited to:
? Machine Learning theories such as SVM, low rank, compressive sensing, sparse coding, transfer learning and deep learning and etc.
? 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

Important Date
Open for submissions: Already Open
Closed for submissions: June 1st, 2016
Results of first round of reviews: Sep 1st, 2016
Submission of revised manuscripts: Nov. 1st, 2016
Final decision: Dec. 31th, 2016

关于投稿:
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. Springer offers authors, editors and reviewers of Multimedia Tools and Applications journal a web-enabled online manuscript submission and
review system. Our online system offers authors the ability to track the review process of their manuscript. Manuscripts should be submitted to:http://MTAP.edmgr.com.?This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats.?

All papers will be peer-reviewed following the Multimedia Tools and Applications reviewing
procedures. Authors should prepare their manuscripts according to the online submission page of Multimedia Tools and Applications at?www.Springer.com/11042

http://www.springer.com/journal/11042

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