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Titlebook: Math Physics Foundation of Advanced Remote Sensing Digital Image Processing; Lei Yan,Hongying Zhao,Yanbiao Sun Textbook 2023 Peking Univer

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書目名稱Math Physics Foundation of Advanced Remote Sensing Digital Image Processing
編輯Lei Yan,Hongying Zhao,Yanbiao Sun
視頻videohttp://file.papertrans.cn/626/625916/625916.mp4
概述Is a detailed systematic introduction to basic principles, algorithms, and applications.Introduces special digital image processing algorithms in the remote sensing field.Contains rich examples, easy
圖書封面Titlebook: Math Physics Foundation of Advanced Remote Sensing Digital Image Processing;  Lei Yan,Hongying Zhao,Yanbiao Sun Textbook 2023 Peking Univer
描述.This book focuses on the mathematical and physical foundations of remote sensing digital image processing and introduces key algorithms utilized in this area. The book fully introduces the basic mathematical and physical process of digital imaging, the basic theory and algorithm of pixel image processing, and the higher-order image processing algorithm and its application. This book skillfully and closely integrates theory, algorithms, and applications, making it simple for readers to understand and use. Researchers and students working in the fields of remote sensing, computer vision, geographic information science, electronic information, etc., can profit from this book. For their work and research in digital image processing, they can master the fundamentals of imaging and image processing techniques..
出版日期Textbook 2023
關(guān)鍵詞Math Physics Foundation; Remote Sensing Image Principle; Advanced Digital Image Processing; Math Physic
版次1
doihttps://doi.org/10.1007/978-981-99-1778-5
isbn_softcover978-981-99-1780-8
isbn_ebook978-981-99-1778-5
copyrightPeking University Press 2023
The information of publication is updating

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Mathematical Basis for the Overall Processing and Analysis of Remote Sensing Digital ImagesAfter establishing the system support conditions for the processing and analysis of remote sensing digital imagery (Chap. .), reasonable mathematical methods can be used to analyze the image and enhance the system performance.
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Remote Sensing Digital Image Pixel Processing Theory I: Linear System with Space–Time Domain ConvoluImage pixel relations satisfy linear system relations. Linear system theory is the link between the signal input and output, and the basic theory to address time or frequency domain digital image information.
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Remote Sensing Digital Image Pixel Processing Theory III: Frequency Domain FilteringWhen the information of the space–time domain is converted to the frequency domain, periodic rules of spatial information can be found: the gradually changing edges represent the low-frequency information, and the remote sensing details and mutated edges correspond to the high-frequency information.
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Remote Sensing Digital Image Pixel Processing Theory IV: Time Domain SamplingThe continuous spatial information of the natural world must be transformed into the discrete information needed by the computer, that is, time series information. Therefore, the sampling process is a prerequisite for computer expression analyses.
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