| 書(shū)目名稱 | Mathematical Models for Remote Sensing Image Processing | | 副標(biāo)題 | Models and Methods f | | 編輯 | Gabriele Moser,Josiane Zerubia | | 視頻video | http://file.papertrans.cn/627/626434/626434.mp4 | | 概述 | Is devoted to fundamentals and applications of modern methods of signal processing and cutting-edge communication technologies.Includes major topics such as information and signal theory, acoustic sig | | 叢書(shū)名稱 | Signals and Communication Technology | | 圖書(shū)封面 |  | | 描述 | .This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodologicaland experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subje | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Aerial imagery; Image processing; Mathematical modelling; Remote Sensing; Satellite imagery; remote sensi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-66330-2 | | isbn_softcover | 978-3-319-88219-2 | | isbn_ebook | 978-3-319-66330-2Series ISSN 1860-4862 Series E-ISSN 1860-4870 | | issn_series | 1860-4862 | | copyright | Springer International Publishing AG 2018 |
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