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【2017-05-31】SCI期刊征稿Remote Sensing Big Data
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https://www.mdpi.com/journal/rem ... l_issues/rs_bigdata MDPI Special Issue "Remote Sensing Big Data: Theory, Methods and Applications" With these issues in mind, it is time to present the current state-of-the-art theoretical, methodological, and applicational research on remote sensing big data. The topics of interest include, but are not limited to: ? Fundamental theories for remote sensing data processing, such as data representation, data clean, dimension reduction, feature selection, compressive sensing, deep learning, regression, correlation analysis, data organization and structure, etc.; ? Methods and techniques for collection, distribution, sharing, and visualization of remote sensing big data; ? Remote sensing big data processing infrastructures and systems, such as cloud computing, high performance computing, Web computing; ? Fusion and assimilation of remote sensing big data; ? Inverse problem and low level vision task with remote sensing big data, such as image denoising, image restoration, image recovery, hyperspectral image un-mixing, SAR image reconstruction, supper-resolution, etc.; ? Middle level vision task with remote sensing big data, such as image segmentation, image change detection, features extraction, image registration, etc.; ? High level vision task with remote sensing big data, such as target detection or tracking, classification of scenes, image retrieval, image understanding and etc.; ? Applications of remote sensing big data (i.e., agriculture, environment, land cover, hydrology, forest, carbon cycle, atmosphere, ocean, Earth surface processes) Prof. Liping Di Prof. Qian Du Assoc. Prof. Peng Liu Prof. Lizhe Wang Guest Editors 发自小木虫Android客户端 |
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