LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code needed.
New-generation SAR for Earth Environment Observation
- 1st Edition - September 21, 2024
- Authors: Huadong Guo, Xinwu Li, Wenxue Fu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 3 1 1 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 3 1 2 - 9
New Generation SAR for Earth Environment Observation discusses three aspects of new generation SAR remote sensing, including (1) The latest research status and developme… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteNew Generation SAR for Earth Environment Observation discusses three aspects of new generation SAR remote sensing, including (1) The latest research status and development trends, the basic theories, and methods of new generation SAR, (2) The new or original concepts, methods and typical applications of new generation SAR information processing and parameter inversion, and (3) A new idea of SAR information integration processing and environmental parameter inversion technique which represents a new SAR science application mode that has the capability to improve the SAR remote-sensing quantitative application level and promote the development of new theories and methodologies.
- Presents key issues of new generation SAR remote sensing
- Includes the latest research status and development trends and the basic theories and methods of new generation SAR
- Presents new or original concepts, methods, and typical applications of new generation SAR information processing and parameter inversion
- Covers a new idea of SAR information integration processing and environmental parameter inversion
SAR remote sensing researchers, teachers, and students of remote sensing, and the related technicians and field officers As a reference for scientists engaged in SAR earth observation methods and techniques, remote sensing of environmental change and earth system science applications, teachers and students of relevant majors and staff of remote sensing application departments
- Cover image
- Title page
- Table of Contents
- Copyright
- Introduction
- Chapter 1. Novel SAR and its development
- Abstract
- 1.1 Research status of novel SAR
- 1.2 Development trends of novel SAR
- References
- Chapter 2. Basic theory and methodology of novel SAR
- Abstract
- 2.1 Theoretical basis of electromagnetic fields
- 2.2 SAR imaging theory
- 2.3 Basic theories and methods of polarimetric SAR
- 2.4 Basis and methodology of polarimetric interferometric SAR
- 2.5 Basic theories and methods of tomographic SAR
- References
- Chapter 3. Polarimetric synthetic aperture radar information extraction and ground object recognition
- Abstract
- 3.1 Building identification method based on polarization azimuth rotation
- 3.2 Collapsed building identification methodology based on the H–α–ρ model
- 3.3 Identification method of urban impermeable layers based on polarization parameters
- References
- Chapter 4. Polarimetric synthetic aperture radar interferometry earth observation
- Abstract
- 4.1 Polarimetric SAR interferometry vegetation cover area terrain generation map
- 4.2 Soil moisture inversion method for vegetation cover areas via polarimetric SAR interferometry
- 4.3 Polarimetric SAR interferometry forest height inversion
- 4.4 Combination of Pol-InSAR and LiDAR techniques for forest height estimation
- References
- Further reading
- Chapter 5. Earth observation via tomographic synthetic aperture radar
- Abstract
- 5.1 CS-TomoSAR methodology
- 5.2 Sum of Kronecker product decomposition-based compressive sensing fully polarimetric multibaseline SAR tomography
- 5.3 CS-based two-dimensional TomoSAR technique
- 5.4 An improved polarimetric SAR tomography method based on distributed compressive sensing
- References
- Chapter 6. Ultra-high-resolution SAR image information extraction methods and their applications
- Abstract
- 6.1 Understanding the statistical characteristics of ultra-high-resolution SAR images
- 6.2 Urban land use information extraction based on CGGD
- 6.3 Information extraction based on noncircularity parameters
- 6.4 Problems and future trends in ultra-high-resolution SAR image applications
- References
- Further reading
- Chapter 7. Synthetic aperture radar data integrated processing methodology oriented toward earth environment factor retrieval
- Abstract
- 7.1 Introduction
- 7.2 Theoretical framework of SAR DIP
- 7.3 Experiments and analysis
- 7.4 Conclusions and discussion
- References
- Further reading
- Index
- No. of pages: 348
- Language: English
- Edition: 1
- Published: September 21, 2024
- Imprint: Elsevier
- Paperback ISBN: 9780443153112
- eBook ISBN: 9780443153129
HG
Huadong Guo
Prof. Guo Huadong has been engaged in radar remote sensing since the 1970s’. He systematically revealed the interaction mechanism between SAR electromagnetic wave and typical ground objects, established a geometric model of SAR scattering from sand dunes without vegetation, revealed the depolarization mechanism of lava and multi-polarization response of vegetation, and confirmed the penetration of long wave SAR to dry sand. A multi-source remote sensing prospecting theory and model has been established, an all-weather and active and passive remote sensing observation system for major earthquake disasters has been established, and the concept of global change science satellite and moon-based observation has been put forward. Organized the construction of a new earth observation system, completed the land remote sensing application system of Shenzhou Spacecraft, and created China's first digital Earth prototype system.
Prof. Guo was awarded the principal investigator of international SAR remote sensing programs including SIR-C/X-SAR, JERS-1 SAR, ERS-1/2 SAR, Radarsat-1/2, Envisat, SRTM, and ALOS ones. He was a member of International SAR Working Group, Chairman of Technical Committee of RICESAT of Asia Remote Sensing Association. In recent 10 years, Prof. Guo has led three national projects focus on new generation SAR for Earth observation.
Affiliations and expertise
Director General, International Research Center of Big Data for Sustainable Development Goals (CBAS), Professor, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS)XL
Xinwu Li
Professor/Doctoral Supervisor, Aerospace Information Research Institute, Chinese Academy of Sciences. His research interests include advanced SAR remote sensing, polar environment remote sensing and ecological environment remote sensing. He has presided over and participated in more than 10 projects such as national 973, 863, NSFC and SPRP projects of CAS. He is the vice chairman of Digital Polar Specialist Committee of CNISDE, Co-chairman of Environmental Change Working Group of DBAR International Science Program, the member of China-EU Expert Committee on Land and Soil, and the vice chairman of CARSA eco-meteorological Remote Sensing Committee. A total of 102 papers were published in SCI/EI. In recent 5 years, 32 SCI papers have been published, among which 1 paper was included as ESI highly cited paper. He has co-authored 4 books including Global Change Science Satellite, Cryosphere Remote Sensing, Remote Sensing Time Series: Revealing land Surface Dynamics and advanced SAR Earth Environment Observation.
Affiliations and expertise
Aerospace Information Research Institute, Chinese Academy of Science, ChinaWF
Wenxue Fu
Dr Fu is Associate Professor, received the M.S. degree in geographic information system from the Hefei University of Technology, Hefei, China, in 2004 and the Ph.D. degree in SAR remote sensing from Nanjing University, Nanjing, China, in 2007. He is currently an Associate Professor with the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. His research interests include radar interferometry for ground deformation retrieval and polarimetric SAR interferometry for forest parameter inversion. He has published more than 30 journal papers and 2 books.
Affiliations and expertise
Hefei University of Technology, ChinaRead New-generation SAR for Earth Environment Observation on ScienceDirect