Math Physics Foundation of Advanced Remote Sensing Digital Image Processing
Autor Lei Yan, Hongying Zhao, Yi Lin, Yanbiao Sunen Limba Engleză Hardback – aug 2023
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Specificații
ISBN-13: 9789819917778
ISBN-10: 9819917778
Pagini: 490
Ilustrații: XXVI, 490 p. 321 illus., 60 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.04 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9819917778
Pagini: 490
Ilustrații: XXVI, 490 p. 321 illus., 60 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.04 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
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Cuprins
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 TransformationI: 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.
Notă biografică
Lei Yan is currently a Second-level professor of School of Earth and Space Science, Peking University, a presiding professor and doctoral supervisor of remote sensing discipline, an academician of Russian Academy of Natural Sciences, and the chairman of journal Expert Steering Committee of IJRS（International Journal of Remote Sensing）. He received his bachelor's degree from Nanjing University of Aeronautics and Astronautics, Nanjing, PRC in 1982, Master’s degree from Naval Engineering University, Wuhan, PRC in 1989 and Ph.D. from Tsinghua University, Beijing, PRC in 1994. After graduation, he got a postdoctoral position at Beihang University and Peking University respectively, Beijing, PRC. He has been teaching in Peking University since 1998. He has dedicated himself to the research of high-resolution imaging and remote sensing calibration, remote sensing of polarization and UAV bionic, space-time feedback control and bionic navigation, and successively served as the director of Beijing Key Laboratory of Space Information Integration and Its Engineering Applications and deputy director of its Academic Committee. He has published more than 310 articles of which more than 130 were indexed in SCI/EI, 10 monographs, and obtained 30 invention patents in his research domain. He has won 18 awards, which mainly has the national technical invention second prize, the 45th Geneva international invention exhibition jury special recognition gold award, the 41st Geneva international invention exhibition gold prize, the 18th China Patent Excellence Award.
Hongying Zhao, associate professor of remote sensing, Peking University, was born in Changchun, Jilin province in 1971. She graduated from the Institute of Optics and Electronics, Chinese Academy of Sciences and obtained her Ph.D. in 2002. After that, she continued to study for a postdoctoral degree at Peking University and has been teaching there after graduation since 2005. She is deeply involved in the research of digital image processing and signal processing for many years, especially digital image stabilization, image mosaic and target recognition, etc. She has acted as the Principal investigator (Pi) on research projects, including the fund from the National Natural Science foundation of China. She has published more than 20 SCI indexed articles. She also serves as the deputy director of the Digital Imaging Technology Professional Committee of the China Photographic Society.
Hongying Zhao, associate professor of remote sensing, Peking University, was born in Changchun, Jilin province in 1971. She graduated from the Institute of Optics and Electronics, Chinese Academy of Sciences and obtained her Ph.D. in 2002. After that, she continued to study for a postdoctoral degree at Peking University and has been teaching there after graduation since 2005. She is deeply involved in the research of digital image processing and signal processing for many years, especially digital image stabilization, image mosaic and target recognition, etc. She has acted as the Principal investigator (Pi) on research projects, including the fund from the National Natural Science foundation of China. She has published more than 20 SCI indexed articles. She also serves as the deputy director of the Digital Imaging Technology Professional Committee of the China Photographic Society.
Textul de pe ultima copertă
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.
Caracteristici
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 to understand and use