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도서명	Understanding Synthetic Aperture Radar Images
저자/역자	Chris Oliver, Shaun Quegan
출판사	Artech House
분야	레이다
목차/설명	“Oliver and Quegan have produced a textbook which is readable and well structured. The book is well produced, coming as it does from Artech House, which has a good pedigree in publishing books on SAR. There are numerous diagrams and images to illustrate the text, and a generous number of references are also provided.” ---The Photogrammetric Record, October 2000 This is a book that I strongly recommend - and one that should be widely read. The title says it all - with special attention to the last word: images. This is definitely a book about synthetic aperature radar (SAR) images. It is not about SAR systems, nor about the physics of microwave interaction (although the former is neatly summarized in early chapters. ...The authors have done a good job at providing a clear exposition of the SAR imaging process. ...This book contains 461 pages of concise quantitative descriptions of the complete SAR imaging process from two authors whose combined experience pans over 30 years of SAR image analysis and information extraction. ...This is an excellent volume that I recommend to anyone looking for a solid description of the statistics of SAR imagery. Definitely a must have for anyone involved with the nitty-gritty of SAR image analysis... -- International Journal of Remote Sensing, Vol. 19 No.18, 1998 Written for SAR system designers and remote sensing specialists, this practical new reference shows you how to produce higher quality SAR images using data-driven algorithms, and how to apply powerful new techniques to measure and analyze SAR image content. The book describes how SAR imagery is formed, how SAR processing affects image properties, and gives you specific guidance in selecting and applying today뭩 most sophisticated analytical techniques. By helping you to quickly assess which components of an SAR image should be measured, the book enables you to devote more time and energy to the real task of image interpretation and analysis. Filled with real-world examples from various SAR systems, the book reveals sophisticated, proven techniques for: SAR filtering, parameter estimation, image reconstruction, segmentation, and classification Evaluating measurement algorithms to help make better algorithm selections Applying powerful speckle removal methods to airborne and spaceborne SAR data Contents: Introduction. Principles of SAR Image Formation. Image Defects and their Correction. Fundamental Properties of SAR Images. Data Models. RCS Reconstruction Filters. RCS Classification and Segmentation. Texture Exploitation. Correlated Textures. Information in Multi-Channel SAR. Analysis Techniques for Multi-Dimensional Images. Target Information. Image classification.
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