High-resolution remote sensing satellite applications: Imaging models, processing algorithms, and application technologies

Author: Zhang Yongsheng
Publisher:
Publish Date: 2004-05-01
Features: This book primarily introduces the theory, methods, and application technologies of spatial information processing for high-resolution remote sensing satellite images. It focuses on systematically discussing the imaging models of high-resolution linear array sensors, three-dimensional spatial image acquisition, target localization, stereoscopic mapping, image fusion theory, and algorithms. The book is divided into eleven chapters, comprehensively introducing the advancements in high-resolution remote sensing satellites and related technologies. It thoroughly analyzes the rigorous imaging model of linear array CCD sensors and three-dimensional target localization techniques. Based on rational function theory, it extends the complete technical methods and algorithms of general sensor models. It explores the generalized epipolar model and dynamic epipolar technique based on projection trajectory methods, as well as the stereo matching techniques and implementation methods for in-orbit and out-of-orbit satellite images. The book also covers multi-source remote sensing image fusion and classification technologies, high-resolution image object extraction techniques, satellite image mapping and updating technologies, the principles and methods of Space Shuttle Interferometric Synthetic Aperture Radar (SIR-C) global mapping, and introduces data structures and algorithms for managing massive remote sensing images, as well as relevant technologies for establishing remote sensing image information systems. This book is suitable for researchers, developers, and managers in fields such as remote sensing science and technology, geographic information systems, geospatial information science, Earth observation, information resource development, 3S system integration, resources and environment, land resource surveying, surveying, and satellite application technologies. It can also serve as a textbook or teaching reference for senior undergraduate and graduate students in related disciplines. This book primarily introduces the theory, methods, and application technologies of spatial information processing for high-resolution remote sensing satellite images, focusing on systematically discussing the imaging models of high-resolution linear array sensors, three-dimensional spatial image acquisition, and image fusion theory and algorithms.