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This full color book is a comprehensive visual reference for the interpretation of synthetic aperture radar (SAR) images with examples of how technological specifications may affect interpretation solutions. It contains a summary review of image acquisition parameters of consequence on the visual representation of objects, introduces traditional interpretation keys under different light and applies them for considering regional landscape components and identifying large-scale geographical ensembles. Through elements of interpretation such as the construct of tone, texture, pattern, size, and shape, the book explains the rich unique context of many terrains. It provides also several SAR X- and C-band image examples of regional and large-scale land use and land cover (LULC) ensembles, includes important explanations for each illustration, and highlights selected SAR image applications. Ancillary information includes acquisition specifications, a geographic scale, and the image-center latitude and longitude. Features: Provides ready access to any type of information for an image interpretation problem related to current LULC classification schemes. Presents scalable geographic information interpreted at a regional scale and land cover ensembles that can also be interpreted locally. Provides comparative examples of images acquired from X- and C-band, opposed look directions, near- and far-range incidence angles, like- and cross-polarization modes. Includes practical explanations easily transferred to individual’s research projects. Designed as "visual dictionary," SAR Image Interpretation for Various Land Covers: A Practical Guide, is an excellent introduction to the visual interpretation of SAR images for numerous types of LULC. Both practitioners and students will familiarize themselves with and expand their knowledge of geographic information conveyed from radar images while government agencies and businesses that use LULC-related data for emergency response cases of for urban and regional planning, will find this book invaluable.
This book is a printed edition of the Special Issue "Polarimetric SAR Techniques and Applications" that was published in Applied Sciences
This full color book is a comprehensive visual reference for the interpretation of synthetic aperture radar (SAR) images with examples of how technological specifications may affect interpretation solutions. It contains a summary review of image acquisition parameters of consequence on the visual representation of objects, introduces traditional interpretation keys under different light and applies them for considering regional landscape components and identifying large-scale geographical ensembles. Through elements of interpretation such as the construct of tone, texture, pattern, size, and shape, the book explains the rich unique context of many terrains. It provides also several SAR X- and C-band image examples of regional and large-scale land use and land cover (LULC) ensembles, includes important explanations for each illustration, and highlights selected SAR image applications. Ancillary information includes acquisition specifications, a geographic scale, and the image-center latitude and longitude. Features: Provides ready access to any type of information for an image interpretation problem related to current LULC classification schemes. Presents scalable geographic information interpreted at a regional scale and land cover ensembles that can also be interpreted locally. Provides comparative examples of images acquired from X- and C-band, opposed look directions, near- and far-range incidence angles, like- and cross-polarization modes. Includes practical explanations easily transferred to individual’s research projects. Designed as "visual dictionary," SAR Image Interpretation for Various Land Covers: A Practical Guide, is an excellent introduction to the visual interpretation of SAR images for numerous types of LULC. Both practitioners and students will familiarize themselves with and expand their knowledge of geographic information conveyed from radar images while government agencies and businesses that use LULC-related data for emergency response cases of for urban and regional planning, will find this book invaluable.
Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach demonstrates the use of image simulation for SAR. It covers the various applications of SAR (including feature extraction, target classification, and change detection), provides a complete understanding of SAR principles, and illustrates the complete chain of a SAR operati
This book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5–6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.
This open access book focuses on the practical application of electromagnetic polarimetry principles in Earth remote sensing with an educational purpose. In the last decade, the operations from fully polarimetric synthetic aperture radar such as the Japanese ALOS/PalSAR, the Canadian Radarsat-2 and the German TerraSAR-X and their easy data access for scientific use have developed further the research and data applications at L,C and X band. As a consequence, the wider distribution of polarimetric data sets across the remote sensing community boosted activity and development in polarimetric SAR applications, also in view of future missions. Numerous experiments with real data from spaceborne platforms are shown, with the aim of giving an up-to-date and complete treatment of the unique benefits of fully polarimetric synthetic aperture radar data in five different domains: forest, agriculture, cryosphere, urban and oceans.
Cities and towns are the original producers of many of the global environmental problems related to waste disposal, and air and water pollution. There is a rapidly growing need for technologies that will enable monitoring of the world's natural resources and urban assets, and managing exposure to natural and man-made risks. The Group on Earth Obser
This book discusses the application of Geospatial data, Geographic Information System (GIS) and Remote Sensing (RS) technologies in analysis and modeling of urban growth process, and its pattern, with special focus on sprawl and compact form of urban development. The book explains these two kinds of urban forms (sprawl and compact urban development) in detail regarding their advantages, disadvantages, indicators, assessment, modeling, implementation and their relationship with urban sustainability. It confirms that the proposed modeling approaches, geospatial data and GIS are very practical for identifying urban growth, land use change patterns and their general trends in future. The analyses and modeling approaches presented in this book can be employed to guide the identification and measurements of the changes and growth likely to happen in urban areas. In addition, this book can be helpful for town planning and development in order to design urban areas in a compact form and eventually sustainable manner.
This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
ICIAR 2005, the International Conference on Image Analysis and Recognition, was the second ICIAR conference, and was held in Toronto, Canada. ICIAR is organized annually, and alternates between Europe and North America. ICIAR 2004 was held in Porto, Portugal. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainly between these two countries, but also with the open participation of other countries, addressing recent advances in theory, methodology and applications. TheresponsetothecallforpapersforICIAR2005wasencouraging.From295 full papers submitted, 153 were ?nally accepted (80 oral presentations, and 73 posters). The review process was carried out by the Program Committee m- bersandotherreviewers;allareexpertsinvariousimageanalysisandrecognition areas. Each paper was reviewed by at least two reviewers, and also checked by the conference co-chairs. The high quality of the papers in these proceedings is attributed ?rst to the authors,and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, andwewholeheartedlythankthe reviewersfor theirexcellentwork,andfortheir timely response. It is this collective e?ort that resulted in the strong conference program and high-quality proceedings in your hands.