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Information Processing for Remote Sensing

Information Processing for Remote Sensing PDF Author: Chi-hau Chen
Publisher: World Scientific
ISBN: 9789810237370
Category : Computers
Languages : en
Pages : 588

Book Description
This book provides the most comprehensive study of information processing techniques and issues in remote sensing. Topics covered include image and signal processing, pattern recognition and feature extraction for remote sensing, neural networks and wavelet transforms in remote sensing, remote sensing of ocean and coastal environment, SAR image filtering and segmentation, knowledge-based systems, software and hardware issues, data compression, change detection, etc. Emphasis is placed on environmental issues of remote sensing.With 58 color illustrations.

Information Processing for Remote Sensing

Information Processing for Remote Sensing PDF Author: Chi-hau Chen
Publisher: World Scientific
ISBN: 9789810237370
Category : Computers
Languages : en
Pages : 588

Book Description
This book provides the most comprehensive study of information processing techniques and issues in remote sensing. Topics covered include image and signal processing, pattern recognition and feature extraction for remote sensing, neural networks and wavelet transforms in remote sensing, remote sensing of ocean and coastal environment, SAR image filtering and segmentation, knowledge-based systems, software and hardware issues, data compression, change detection, etc. Emphasis is placed on environmental issues of remote sensing.With 58 color illustrations.

Signal Processing for Remote Sensing

Signal Processing for Remote Sensing PDF Author: C.H. Chen
Publisher: CRC Press
ISBN: 1420066676
Category : Technology & Engineering
Languages : en
Pages : 291

Book Description
Written by leaders in the field, Signal Processing for Remote Sensing explores the data acquisitions segment of remote sensing. Each chapter presents a major research result or the most up to date development of a topic. The book includes a chapter by Dr. Norden Huang, inventor of the Huang-Hilbert transform who, along with and Dr. Steven Lo

Frontiers of Remote Sensing Information Processing

Frontiers of Remote Sensing Information Processing PDF Author: C H Chen
Publisher: World Scientific
ISBN: 9814486183
Category : Technology & Engineering
Languages : en
Pages : 628

Book Description
Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination. In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas. Contents:Data MiningSAR Image ProcessingWavelet Analysis and ApplicationsMilitary Applications of Remote SensingMicrowave Remote SensingStatistical Pattern RecognitionAutomatic Target SegmentationNeural NetworksChange DetectionSeismic Signal ProcessingTime Series PredictionImage CompressionEmerging Topics Readership: Engineers and scientists dealing with remote sensing data in particular, and signals and images in general; computer scientists involved in software development on geophysical data analysis. Keywords:Remote Sensing Sensors;SAR (Synthentic Aperture Radar) Image Processing;Wavelet Analysis;Image Classification;Data Mining;Seismic Signal Processing;Neural Networks;Change Detection

Information Processing For Remote Sensing

Information Processing For Remote Sensing PDF Author: Chi Hau Chen
Publisher: World Scientific
ISBN: 9814495352
Category : Technology & Engineering
Languages : en
Pages : 582

Book Description
This book provides the most comprehensive study of information processing techniques and issues in remote sensing. Topics covered include image and signal processing, pattern recognition and feature extraction for remote sensing, neural networks and wavelet transforms in remote sensing, remote sensing of ocean and coastal environment, SAR image filtering and segmentation, knowledge-based systems, software and hardware issues, data compression, change detection, etc. Emphasis is placed on environmental issues of remote sensing.With 58 color illustrations.

Image Processing for Remote Sensing

Image Processing for Remote Sensing PDF Author: C.H. Chen
Publisher: CRC Press
ISBN: 142006665X
Category : Technology & Engineering
Languages : en
Pages : 417

Book Description
Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for

Advances and Challenges in Multisensor Data and Information Processing

Advances and Challenges in Multisensor Data and Information Processing PDF Author: Eric Lefebvre
Publisher: IOS Press
ISBN: 1586037277
Category : Business & Economics
Languages : en
Pages : 412

Book Description
"Proceedings of the NATO Advanced Study Institute on Multisensor Data and Information Processing for Rapid and Robust Situation and Threat Assessment, Albena, Bulgaria, 16-27 May 2005"--T.p. verso.

Big Data Analytics for Satellite Image Processing and Remote Sensing

Big Data Analytics for Satellite Image Processing and Remote Sensing PDF Author: Swarnalatha, P.
Publisher: IGI Global
ISBN: 1522536442
Category : Technology & Engineering
Languages : en
Pages : 253

Book Description
The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.

Multitemporal Remote Sensing

Multitemporal Remote Sensing PDF Author: Yifang Ban
Publisher: Springer
ISBN: 331947037X
Category : Technology & Engineering
Languages : en
Pages : 448

Book Description
Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.

Remote Sensing

Remote Sensing PDF Author: Robert A. Schowengerdt
Publisher: Elsevier
ISBN: 0080516106
Category : Technology & Engineering
Languages : en
Pages : 585

Book Description
This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms. Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery. The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.

Remote Sensing Digital Image Analysis

Remote Sensing Digital Image Analysis PDF Author: John A. Richards
Publisher: Springer Science & Business Media
ISBN: 3662024624
Category : Technology & Engineering
Languages : en
Pages : 297

Book Description
With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners have to computing systems for image interpretation, there is a need to draw together the range of digital image processing procedures and methodologies commonly used in this field into a single treatment. It is the intention of this book to provide such a function, at a level meaningful to the non-specialist digital image analyst, but in sufficient detail that algorithm limitations, alternative procedures and current trends can be appreciated. Often the applications specialist in remote sensing wishing to make use of digital processing procedures has had to depend upon either the mathematically detailed treatments of image processing found in the electrical engineering and computer science literature, or the sometimes necessarily superficial treatments given in general texts on remote sensing. This book seeks to redress that situation. Both image enhancement and classification techniques are covered making the material relevant in those applications in which photointerpretation is used for information extraction and in those wherein information is obtained by classification.