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Math physics foundation of advanced remote sensing digital image processing
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Math physics foundation of advanced remote sensing digital image processingby Lei Yan ... [et al.].
其他作者:
Yan, Lei.
出版者:
Singapore :Springer Nature Singapore :2023.
面頁冊數:
xxvi, 490 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Image processingDigital techniques
電子資源:
https://doi.org/10.1007/978-981-99-1778-5
ISBN:
9789819917785$q(electronic bk.)
Math physics foundation of advanced remote sensing digital image processing
Math physics foundation of advanced remote sensing digital image processing
[electronic resource] /by Lei Yan ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxvi, 490 p. :ill., digital ;24 cm.
Remote Sensing Digital Image Processing Technology I -- Overview of Remote Sensing Digital Image Processing -- System Support Conditions of Remote Sensing Digital Image Processing and Analysis -- Mathematical Basis for the Overall Processing and Analysis of Remote Sensing Digital Images -- The Physical Foundation and Global Analysis of Remote Sensing Digital Images -- Remote Sensing Digital Image Processing Technology II -- Remote Sensing Digital Image Pixel Processing Theory I: Linear System with Space-Time Domain Convolution -- Basic Theory of Remote Sensing Digital Image Pixel Processing II: Time-Frequency Fourier Transform from Convolution to Multiplication -- Remote Sensing Digital Image Pixel Processing Theory III: Frequency Domain Filtering -- Remote Sensing Digital Image Pixel Processing Theory IV: Time Domain Sampling -- Basics of Remote Sensing Digital Image Pixel Transformation I: Space-Time Equivalent Orthogonal Basis -- Basis of Remote Sensing Digital Image Pixel Transformation II: Time-Frequency Orthogonal Basis -- Remote Sensing Digital Image Processing Technology Ⅲ -- Remote Sensing Digital Image Processing: Noise Reduction and Image Reconstruction -- Digital Image Compression -- Pattern recognition (image segmentation) -- Pattern recognition (feature extraction and classification) -- Applications of Remote Sensing Digital Image Processing IV: Color Transform and 3D Reconstruction -- Applications of Remote Sensing Digital Image Processing.
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.
ISBN: 9789819917785$q(electronic bk.)
Standard No.: 10.1007/978-981-99-1778-5doiSubjects--Topical Terms:
256957
Image processing
--Digital techniques
LC Class. No.: TA1637
Dewey Class. No.: 621.3678
Math physics foundation of advanced remote sensing digital image processing
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Remote Sensing Digital Image Processing Technology I -- Overview of Remote Sensing Digital Image Processing -- System Support Conditions of Remote Sensing Digital Image Processing and Analysis -- Mathematical Basis for the Overall Processing and Analysis of Remote Sensing Digital Images -- The Physical Foundation and Global Analysis of Remote Sensing Digital Images -- Remote Sensing Digital Image Processing Technology II -- Remote Sensing Digital Image Pixel Processing Theory I: Linear System with Space-Time Domain Convolution -- Basic Theory of Remote Sensing Digital Image Pixel Processing II: Time-Frequency Fourier Transform from Convolution to Multiplication -- Remote Sensing Digital Image Pixel Processing Theory III: Frequency Domain Filtering -- Remote Sensing Digital Image Pixel Processing Theory IV: Time Domain Sampling -- Basics of Remote Sensing Digital Image Pixel Transformation I: Space-Time Equivalent Orthogonal Basis -- Basis of Remote Sensing Digital Image Pixel Transformation II: Time-Frequency Orthogonal Basis -- Remote Sensing Digital Image Processing Technology Ⅲ -- Remote Sensing Digital Image Processing: Noise Reduction and Image Reconstruction -- Digital Image Compression -- Pattern recognition (image segmentation) -- Pattern recognition (feature extraction and classification) -- Applications of Remote Sensing Digital Image Processing IV: Color Transform and 3D Reconstruction -- Applications of Remote Sensing Digital Image Processing.
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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.
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