On Board Processing For Satellite Remote Sensing Images PDF Download
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Author | : Guoqing Zhou |
Publisher | : CRC Press |
Total Pages | : 468 |
Release | : 2023-05-12 |
Genre | : Technology & Engineering |
ISBN | : 1000880168 |
Download On-Board Processing for Satellite Remote Sensing Images Book in PDF, ePub and Kindle
On-board image processing systems are used to maximize image data transmission efficiency for large volumes of data gathered by Earth observation satellites. This book explains the methods, mathematical models, and key technologies used for these systems. It introduces the background, basic concepts, and the architecture of on-board image processing, along with on-board detection of the image feature and matching, ground control point identification, on-board geometric correction, calibration, geographic registration, etc. • Describes algorithms and methodologies for on-board image processing with FPGA chips. • Migrates the traditional on-ground computing to on-board operation and the image processing is implemented on-board, not on-ground. • Introduces for the first time many key technologies and methods for on-board image processing. • Emphasizes the recent progress in image processing by using on-board FPGA chips. • Includes case studies from the author’s extensive research and experience on the topic. This book gives insights into emerging technologies for on-board processing and will benefit senior undergraduate and graduate students of remote sensing, information technology, computer science and engineering, electronic engineering, and geography, as well as researchers and professionals interested in satellite remote sensing image processing in academia, and governmental and commercial sectors.
Author | : Guoqing Zhou |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Earth (Planet) |
ISBN | : 9781003319634 |
Download On-board Processing for Satellite Remote Sensing Images Book in PDF, ePub and Kindle
"Onboard image processing systems are used to maximize image data transmission efficiency for large volumes of data gathered by Earth observation satellites. This book explains the methods, mathematical models, and key technologies used for these systems. It introduces the background, basic concepts, and the architecture of on-board image processing, along with on-board detection of the image feature and matching, ground control point identification, on-board geometric correction, calibration, geographic registration, etc. A great reference for students, researchers, and professionals in government and industry interested in remote sensing of cities and disaster monitoring"--
Author | : Guoqing Zhou |
Publisher | : CRC Press |
Total Pages | : 241 |
Release | : 2023-05-12 |
Genre | : Technology & Engineering |
ISBN | : 1000880125 |
Download On-Board Processing for Satellite Remote Sensing Images Book in PDF, ePub and Kindle
On-board image processing systems are used to maximize image data transmission efficiency for large volumes of data gathered by Earth observation satellites. This book explains the methods, mathematical models, and key technologies used for these systems. It introduces the background, basic concepts, and the architecture of on-board image processing, along with on-board detection of the image feature and matching, ground control point identification, on-board geometric correction, calibration, geographic registration, etc. • Describes algorithms and methodologies for on-board image processing with FPGA chips. • Migrates the traditional on-ground computing to on-board operation and the image processing is implemented on-board, not on-ground. • Introduces for the first time many key technologies and methods for on-board image processing. • Emphasizes the recent progress in image processing by using on-board FPGA chips. • Includes case studies from the author’s extensive research and experience on the topic. This book gives insights into emerging technologies for on-board processing and will benefit senior undergraduate and graduate students of remote sensing, information technology, computer science and engineering, electronic engineering, and geography, as well as researchers and professionals interested in satellite remote sensing image processing in academia, and governmental and commercial sectors.
Author | : C.H. Chen |
Publisher | : CRC Press |
Total Pages | : 603 |
Release | : 2012-02-22 |
Genre | : Computers |
ISBN | : 1439855978 |
Download Signal and Image Processing for Remote Sensing Book in PDF, ePub and Kindle
Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting info
Author | : Swarnalatha, P. |
Publisher | : IGI Global |
Total Pages | : 272 |
Release | : 2018-03-09 |
Genre | : Technology & Engineering |
ISBN | : 1522536442 |
Download Big Data Analytics for Satellite Image Processing and Remote Sensing Book in PDF, ePub and Kindle
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.
Author | : C.H. Chen |
Publisher | : CRC Press |
Total Pages | : 432 |
Release | : 2024-06-11 |
Genre | : Technology & Engineering |
ISBN | : 1040031250 |
Download Signal and Image Processing for Remote Sensing Book in PDF, ePub and Kindle
Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing. Features Includes all new content and does not replace the previous edition Covers machine learning approaches in both signal and image processing for remote sensing Studies deep learning methods for remote sensing information extraction that is found in other books Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered Discusses improved pattern classification approaches and compressed sensing approaches Provides ample examples of each aspect of both signal and image processing This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.
Author | : Jacqueline Le Moigne |
Publisher | : Cambridge University Press |
Total Pages | : 515 |
Release | : 2011-03-24 |
Genre | : Technology & Engineering |
ISBN | : 1139494376 |
Download Image Registration for Remote Sensing Book in PDF, ePub and Kindle
This book provides a summary of current research in the application of image registration to satellite imagery. Presenting algorithms for creating mosaics and tracking changes on the planet's surface over time, it is an indispensable resource for researchers and advanced students in Earth and space science, and image processing.
Author | : C.H. Chen |
Publisher | : CRC Press |
Total Pages | : 400 |
Release | : 2007-10-17 |
Genre | : Technology & Engineering |
ISBN | : 9781420066647 |
Download Image Processing for Remote Sensing Book in PDF, ePub and Kindle
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 improved classification with the remote sensing data, Wiener filter-based method, and other modern approaches and methods of image processing for remotely sensed data. Each chapter explores a technique for dealing with a specific remote sensing problem. The book offers physical insights on the steps for constructing various digital seismic images. The volume examines image modeling, statistical image classifiers, change detection, independent component analysis, vertex component analysis, image fusion for better classification. It explores unique topics such as accuracy assessment and information-theoretic measure of multiband images and many chapters emphasize issues with synthetic aperture radar (SAR) images. Continued development on imaging sensors creates new opportunities and challenges in image processing for remote sensing. Image Processing for Remote Sensing not only presents the most up to date developments of image processing for remote sensing but also suggests to readers the many challenging problems ahead for further study.
Author | : United States. Office of Space and Terrestrial Applications |
Publisher | : |
Total Pages | : 44 |
Release | : 1980 |
Genre | : Geology |
ISBN | : |
Download Processing Book in PDF, ePub and Kindle
Author | : Francisco Eugenio |
Publisher | : MDPI |
Total Pages | : 262 |
Release | : 2019-11-06 |
Genre | : Science |
ISBN | : 3039217569 |
Download Very High Resolution (VHR) Satellite Imagery Book in PDF, ePub and Kindle
Recently, growing interest in the use of remote sensing imagery has appeared to provide synoptic maps of water quality parameters in coastal and inner water ecosystems;, monitoring of complex land ecosystems for biodiversity conservation; precision agriculture for the management of soils, crops, and pests; urban planning; disaster monitoring, etc. However, for these maps to achieve their full potential, it is important to engage in periodic monitoring and analysis of multi-temporal changes. In this context, very high resolution (VHR) satellite-based optical, infrared, and radar imaging instruments provide reliable information to implement spatially-based conservation actions. Moreover, they enable observations of parameters of our environment at greater broader spatial and finer temporal scales than those allowed through field observation alone. In this sense, recent very high resolution satellite technologies and image processing algorithms present the opportunity to develop quantitative techniques that have the potential to improve upon traditional techniques in terms of cost, mapping fidelity, and objectivity. Typical applications include multi-temporal classification, recognition and tracking of specific patterns, multisensor data fusion, analysis of land/marine ecosystem processes and environment monitoring, etc. This book aims to collect new developments, methodologies, and applications of very high resolution satellite data for remote sensing. The works selected provide to the research community the most recent advances on all aspects of VHR satellite remote sensing.