2016 IEEE International Geoscience & Remote Sensing Symposium PDF Download

Author:
Publisher:
ISBN: 9781509033324
Category :
Languages : en
Pages :

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Author: IEEE Staff
Publisher:
ISBN: 9781509033331
Category :
Languages : en
Pages :

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Book Description
International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes the fundamentals of the interactions electromagnetic waves with environment and target to be observed the techniques and implementation of remote sensing for imaging and sounding the analysis, processing and information technology of remote sensing data the applications of remote sensing in different aspects of earth science the missions and projects of earth observation satellites and airborne and ground based campaigns The theme of IGARSS 2016 is Advancing the Understanding of our Changing Planet, and some emphases will be given on the special topics of remote sensing applications on global change

Author:
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ISBN: 9781467311601
Category :
Languages : en
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Author: C.H. Chen
Publisher: CRC Press
ISBN: 1040031250
Category : Technology & Engineering
Languages : en
Pages : 433

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Book Description
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.

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Category :
Languages : en
Pages : 0

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Author:
Publisher:
ISBN: 9781509049516
Category : Earth sciences
Languages : en
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This conference covers topics in remote sensing technology including radar and optical sensors, systems, and signal processing techniques physics and theory of remote sensing using electromagnetic waves advanced signal processing and information extraction methods applications of remote sensing and geosciences.

Author: Qi Wang
Publisher: MDPI
ISBN: 3038976989
Category : Computers
Languages : en
Pages : 376

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Book Description
With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.

Author: Michael Eineder
Publisher: MDPI
ISBN: 3038977241
Category : Science
Languages : en
Pages : 422

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This Special Issue is a collection of papers addressing the scientific use of data acquired in the course of the TerraSAR-X mission 10 years after launch. The articles deal with the mission itself, the accuracy of the products, with differential interferometry, and with applications in the domains cryosphere, oceans, wetlands, and urban areas.

Author: IEEE Staff
Publisher:
ISBN: 9781479979301
Category :
Languages : en
Pages :

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Book Description
The Geoscience and Remote Sensing Society (GRSS) seeks to advance science and technology in geoscience, remote sensing and related fields using conferences, education and other resources Its fields of interest are the theory, concepts and techniques of science and engineering as they apply to the remote sensing of the earth, oceans, atmosphere, and space, as well as the processing, interpretation and dissemination of this information

Author: Jiyu Jin
Publisher: Springer
ISBN: 3030217302
Category : Computers
Languages : en
Pages : 279

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Book Description
This book constitutes the refereed post-conference proceedings of the 6th EAI International Conference on Green Energy and Networking, GreeNets 2019, held in Dalian, China, May 5, 2019. The 30 full papers were selected form 44 submissions and cover a wide spectrum of ideas to reduce the impact of the climate change, while maintaining social prosperity. In this context, growing global concern leads to the adoption of the new technological paradigms, especially for the operation of future smart cities.