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2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Author: IEEE Staff
Publisher:
Total Pages:
Release: 2016-07-10
Genre:
ISBN: 9781509033331

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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


Remote Sensing of Geomorphology

Remote Sensing of Geomorphology
Author:
Publisher: Elsevier
Total Pages: 398
Release: 2020-04-16
Genre: Science
ISBN: 0444641785

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Remote Sensing of Geomorphology, Volume 23, discusses the new range of remote-sensing techniques (lidar, structure from motion photogrammetry, advanced satellite platforms) that has led to a dramatic increase in terrain information, and as such provided new opportunities for a better understanding of surface morphology and related Earth surface processes. As several papers have been published (including paper reviews and special issues) on this topic, this book summarizes the major advances in remote sensing techniques for the analysis of Earth surface morphology and processes, also highlighting future challenges. Useful for MSc and PhD students, this book is also ideal for any scientists that want to have a single volume guideline to help them develop new ideas. In addition, technicians and private and public sectors working on remote sensing will find the information useful to their initiatives. Provides a useful guideline for MSc and PhD students, scientists, technicians, and land planners on the use of remote sensing in geomorphology Includes applications on specific case studies that highlight issues and benefits of one technique compared to others Presents future trends in remote sensing and geomorphology


Signal and Image Processing for Remote Sensing

Signal and Image Processing for Remote Sensing
Author: C.H. Chen
Publisher: CRC Press
Total Pages: 432
Release: 2024-06-11
Genre: Technology & Engineering
ISBN: 1040031250

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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.


Ten Years of TerraSAR-X—Scientific Results

Ten Years of TerraSAR-X—Scientific Results
Author: Michael Eineder
Publisher: MDPI
Total Pages: 422
Release: 2019-04-16
Genre: Science
ISBN: 3038977241

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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.


Spaceborne Synthetic Aperture Radar Remote Sensing

Spaceborne Synthetic Aperture Radar Remote Sensing
Author: Shashi Kumar
Publisher: CRC Press
Total Pages: 433
Release: 2023-03-31
Genre: Computers
ISBN: 1000803163

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This book provides basic and advanced concepts of synthetic aperture radar (SAR), PolSAR, InSAR, PolInSAR, and all necessary information about various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place. It will help readers to use active microwave imaging sensor-based information in geospatial technology and applications. This book: Covers basic and advanced concepts of synthetic aperture radar (SAR) remote sensing Introduces spaceborne SAR sensors Discusses applications of SAR remote sensing in earth observation Explores utilization of SAR data for solid earth, ecosystem, and cryosphere, including imaging of extra-terrestrial bodies Includes PolSAR and PolInSAR for aboveground forest biomass retrieval, as well as InSAR and PolSAR for snow parameters retrieval This book is aimed at researchers and graduate students in remote sensing, photogrammetry, geoscience, image processing, agriculture, environment, forestry, and image processing.


Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
Author: Vinit Kumar Gunjan
Publisher: Springer Nature
Total Pages: 821
Release: 2022-01-10
Genre: Technology & Engineering
ISBN: 9811664072

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This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, held in March 28-29th 2021 at CMR Institute of Technology, Hyderabad, Telangana India. It covers the latest research trends and developments in areas of machine learning, artificial intelligence, neural networks, cyber-physical systems, cybernetics, with emphasis on applications in smart cities, Internet of Things, practical data science and cognition. The book focuses on the comprehensive tenets of artificial intelligence, machine learning and deep learning to emphasize its use in modelling, identification, optimization, prediction, forecasting and control of future intelligent systems. Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving a diverse range of problems in industries and its real-world applications.


The Future of Hyperspectral Imaging

The Future of Hyperspectral Imaging
Author: Stefano Selci
Publisher: MDPI
Total Pages: 220
Release: 2019-11-20
Genre: Science
ISBN: 3039218220

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This book includes some very recent applications and the newest emerging trends of hyper-spectral imaging (HSI). HSI is a very recent and strange beast, a sort of a melting pot of previous techniques and scientific interests, merging and concentrating the efforts of physicists, chemists, botanists, biologists, and physicians, to mention just a few, as well as experts in data crunching and statistical elaboration. For almost a century, scientific observation, from looking to planets and stars down to our own cells and below, could be divided into two main categories: analyzing objects on the basis of their physical dimension (recording size, position, weight, etc. and their variations) or on how the object emits, reflects, or absorbs part of the electromagnetic spectrum, i.e., spectroscopy. While the two aspects have been obviously entangled, instruments and skills have always been clearly distinct from each other. With HSI now available, this is no longer the case. This instrument can return specimen dimensionalities and spectroscopic properties to any single pixel of your specimen, in a single set of data. HSI modality is ubiquitous and scale-invariant enough to be used to mark terrestrial resources on the basis of a land map obtained from satellite observation (actually, the oldest application of this type) or to understand if the cell you are looking at is cancerous or perfectly healthy. For all these reasons, HSI represents one of the most exciting methodologies of the new millennium.


Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis

Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis
Author: Gupta, Rajeev Kumar
Publisher: IGI Global
Total Pages: 277
Release: 2022-06-10
Genre: Computers
ISBN: 1668439832

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Weather forecasting and climate behavioral analysis have traditionally been done using complicated physics models and accompanying atmospheric variables. However, the traditional approaches lack common tools, which can lead to incomplete information about the weather and climate conditions, in turn affecting the prediction accuracy rate. To address these problems, the advanced technological aspects through the spectrum of artificial intelligence of things (AIoT) models serve as a budding solution. Further study on artificial intelligence of things and how it can be utilized to improve weather forecasting and climatic behavioral analysis is crucial to appropriately employ the technology. Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis discusses practical applications of artificial intelligence of things for interpretation of weather patterns and how weather information can be used to make critical decisions about harvesting, aviation, etc. This book also considers artificial intelligence of things issues such as managing natural disasters that impact the lives of millions. Covering topics such as deep learning, remote sensing, and meteorological applications, this reference work is ideal for data scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.