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Titlebook: Remote Sensing Image Processing; Gustavo Camps-Valls,Devis Tuia,Jesús Malo Book 2012 Springer Nature Switzerland AG 2012

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發(fā)表于 2025-3-21 17:47:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Remote Sensing Image Processing
編輯Gustavo Camps-Valls,Devis Tuia,Jesús Malo
視頻videohttp://file.papertrans.cn/827/826896/826896.mp4
叢書名稱Synthesis Lectures on Image, Video, and Multimedia Processing
圖書封面Titlebook: Remote Sensing Image Processing;  Gustavo Camps-Valls,Devis Tuia,Jesús Malo Book 2012 Springer Nature Switzerland AG 2012
描述Earth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with the atmosphere. The Earth is continuously monitored with advanced optical and radar sensors. The images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image processing is nowadays a mature research area, and the techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection a
出版日期Book 2012
版次1
doihttps://doi.org/10.1007/978-3-031-02247-0
isbn_softcover978-3-031-01119-1
isbn_ebook978-3-031-02247-0Series ISSN 1559-8136 Series E-ISSN 1559-8144
issn_series 1559-8136
copyrightSpringer Nature Switzerland AG 2012
The information of publication is updating

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發(fā)表于 2025-3-21 22:33:00 | 只看該作者
Gustavo Camps-Valls,Devis Tuia,Luis Gómez-Chova,Sandra Jiménez,Jesús Malotions are based on unique cases of self-organizing systems: galaxies, planetary systems, and single planets or comets. General biological principles—such as those of immunology (where one needs to explain the emergence of immunity toward ever-new viruses)—have to be applicable to each and every, kno
板凳
發(fā)表于 2025-3-22 02:02:57 | 只看該作者
uantum chemistry because most chemical reactions are observed in solution. In this section, several topics are discussed concerning electrons in molecular liquids that are fundamental problems in describing chemical reactions in solution. First, intermolecular potentials are examined. It is shown th
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The Statistics of Remote Sensing Images,of spatial, spectral and spatial-spectral redundancy is analyzed in detail through illustrative examples in real remote sensing images. The statistical behavior presented here is key in applications such as coding or restoration of remote sensing imagery.
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發(fā)表于 2025-3-22 16:15:04 | 只看該作者
Remote Sensing Feature Selection and Extraction,y applications: from the posterior image segmentation and object location, to properly estimate physical variables from the images. A wide range of standard techniques have been adopted by the remote sensing community but, at the same time, many of them have been necessarily adapted to the particula
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Estimation of Physical Parameters,ges. The number and accuracy of current methods (either physically-based inversion, statistical methods or combined approaches) has made possible the prediction of atmospheric parameters, crop characteristics, and ocean state.
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發(fā)表于 2025-3-23 02:18:08 | 只看該作者
Remote Sensing Feature Selection and Extraction,r features of images. In addition, the issue of extracting physically-meaningful features from images is an active field. We will review the main contributions in the area through an extensive literature review and real examples.
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發(fā)表于 2025-3-23 09:02:34 | 只看該作者
Classification of Remote Sensing Images,ed in the field. After the definition of the classification problem (Section 4.1.1), the main classification tasks will be presented in sections 4.2 to 4.4. Finally, Section 4.5 discusses the new challenges to be confronted in these fields, including representativeness and adaptation of classifiers.
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