Conferences related to Remote Sensing

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2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.


2019 International Conference on Robotics and Automation (ICRA)

Flagship conference of the robotics and automation society, a premiere international venue for international robotics researchers


ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world.


2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

The goal of the 14th ASME/IEEE MESA2018 is to bring together experts from the fields of mechatronic and embedded systems, disseminate the recent advances in the area, discuss future research directions, and exchange application experience. The main achievement of MESA2018 is to bring out and highlight the latest research results and developments in the IoT (Internet of Things) era in the field of mechatronics and embedded systems.


2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)

AQTR 2018 is intended to be an international forum for researchers in the field of automation, quality, testing and robotics. It will bring together equipment manufacturers, software developers and end-users to discuss the current trends and future directions of control and testing technologies and their industrial and social applications in the private and the public sectors. Active participation of students and graduate students is strongly encouraged.


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Periodicals related to Remote Sensing

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


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Most published Xplore authors for Remote Sensing

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Xplore Articles related to Remote Sensing

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A study of grid workflow dynamic customization for remote sensing quantitative retrieval

[{u'author_order': 1, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37890842000', u'full_name': u'Jing Dong', u'id': 37890842000}, {u'author_order': 2, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37278243400', u'full_name': u'Yong Xue', u'id': 37278243400}, {u'author_order': 3, u'affiliation': u'Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37897706400', u'full_name': u'Ziqiang Chen', u'id': 37897706400}, {u'author_order': 4, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37596364500', u'full_name': u'Hui Xu', u'id': 37596364500}, {u'author_order': 5, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37405711500', u'full_name': u'Yingjie Li', u'id': 37405711500}, {u'author_order': 6, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37556116000', u'full_name': u'Chaolin Wu', u'id': 37556116000}] 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

A grid workflow is a type of high-level grid middleware to support modeling, redesign and execution of large-scale intricate scientific and business processes in many complex e-science applications. In this paper, we make improvement on existing grid workflow to meet the application request of remote sensing in two ways: expand the interface of models and design map of remote sensing ...


A statistic model developed to estimate the penetration depth using passive microwave remote sensing

[{u'author_order': 1, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37067436900', u'full_name': u'Tao Zhang', u'id': 37067436900}, {u'author_order': 2, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37280175200', u'full_name': u'Lixin Zhang', u'id': 37280175200}, {u'author_order': 3, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37407584900', u'full_name': u'Shaojie Zhao', u'id': 37407584900}, {u'author_order': 4, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37272130800', u'full_name': u'Lingmei Jiang', u'id': 37272130800}, {u'author_order': 5, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37394181200', u'full_name': u'Linna Chai', u'id': 37394181200}] 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Penetration depth of passive microwave remote sensing indicates the area below the land surface where singles come from. A reliable penetration depth is helpful not only in understanding the mechanism of microwave remote sensing but also in validating the retrieved results of land parameters. In this paper, we defined that the penetration depth in passive microwave remote sensing is the ...


A flexible abstract graphical grid workflow data structure for remote sensing quantitative retrieval

[{u'author_order': 1, u'affiliation': u'State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote, Sensing Applications of Chinese Academy of Sciences, PO Box 9718, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37410814800', u'full_name': u'Jianwen Ai', u'id': 37410814800}, {u'author_order': 2, u'affiliation': u'State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote, Sensing Applications of Chinese Academy of Sciences, PO Box 9718, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37278243400', u'full_name': u'Yong Xue', u'id': 37278243400}, {u'author_order': 3, u'affiliation': u'State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote, Sensing Applications of Chinese Academy of Sciences, PO Box 9718, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37393343300', u'full_name': u'Jie Guang', u'id': 37393343300}, {u'author_order': 4, u'affiliation': u'State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote, Sensing Applications of Chinese Academy of Sciences, PO Box 9718, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37405711500', u'full_name': u'Yingjie Li', u'id': 37405711500}, {u'author_order': 5, u'affiliation': u'State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote, Sensing Applications of Chinese Academy of Sciences, PO Box 9718, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37293652600', u'full_name': u'Ying Wang', u'id': 37293652600}, {u'author_order': 6, u'affiliation': u'State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote, Sensing Applications of Chinese Academy of Sciences, PO Box 9718, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37396812800', u'full_name': u'Linlu Mei', u'id': 37396812800}, {u'author_order': 7, u'affiliation': u'State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote, Sensing Applications of Chinese Academy of Sciences, PO Box 9718, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37600502200', u'full_name': u'Xingwei He', u'id': 37600502200}] 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010

Abstract graphical Grid workflow can adapt the dynamic nature of Grid environment. It is more intuitive and convenient for user to apply Grid services solving the remote sensing distributable computing problems than concrete Grid workflows. This paper firstly introduces the feasibilities and advantages of abstract Grid workflow applying for remote sensing quantitative retrieval services. And then it gives the relative ...


Analysis of remote sensing quantitative inversion in cloud computing

[{u'author_order': 1, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing, Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing, Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37890842000', u'full_name': u'Jing Dong', u'id': 37890842000}, {u'author_order': 2, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing, Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing, Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37278243400', u'full_name': u'Yong Xue', u'id': 37278243400}, {u'author_order': 3, u'affiliation': u'Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37897706400', u'full_name': u'Ziqiang Chen', u'id': 37897706400}, {u'author_order': 4, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing, Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing, Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37596364500', u'full_name': u'Hui Xu', u'id': 37596364500}, {u'author_order': 5, u'affiliation': u'State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing, Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing, Applications, Chinese Academy of Sciences, 100101, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37405711500', u'full_name': u'Yingjie Li', u'id': 37405711500}] 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Cloud computing, a long-held dream of computing as a utility, has prosperous potential of transforming a large part of the information technology (IT) industry. It has successfully become a new business model in a short time. Now, many companies have launched their own products. Nevertheless, the current commercial mode does not meet the request of applications of remote sensing quantitative ...


Charms - China Agricultural Remote Sensing Monitoring System

[{u'author_order': 1, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37278565100', u'full_name': u'Zhongxin Chen', u'id': 37278565100}, {u'author_order': 2, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37274720100', u'full_name': u'Qingbo Zhou', u'id': 37274720100}, {u'author_order': 3, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37065641600', u'full_name': u'Jia Liu', u'id': 37065641600}, {u'author_order': 4, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37900132000', u'full_name': u'Limin Wang', u'id': 37900132000}, {u'author_order': 5, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37399670300', u'full_name': u'Jianqiang Ren', u'id': 37399670300}, {u'author_order': 6, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37599107800', u'full_name': u'Qing Huang', u'id': 37599107800}, {u'author_order': 7, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37891769500', u'full_name': u'Hui Deng', u'id': 37891769500}, {u'author_order': 8, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37599386700', u'full_name': u'Li Zhang', u'id': 37599386700}, {u'author_order': 9, u'affiliation': u'Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37595632500', u'full_name': u'Dandan Li', u'id': 37595632500}] 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

With the sustaining economic development in China, the timely, accurate and objective agricultural production information service has been highly demanded by the central and provincial governments. China Agricultural Remote Sensing Monitoring System (CHARMS) is an operational agricultural monitoring system in the Mnistry of Agriculture of China to meet this demand. Wheat, corn and rice, are the three main grain crops ...


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Educational Resources on Remote Sensing

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eLearning

No eLearning Articles are currently tagged "Remote Sensing"

IEEE-USA E-Books

  • System Architectures of Satellite Communication, Radar, Navigation and Remote Sensing

    None

  • Remote Sensing Image Processing

    Earth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with the atmosphere. The Earth is continuously monitored with advanced optical and radar sensors. The images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image processing is nowadays a mature research area, and the techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This book covers some of the fields in a comprehensive way. Table of Contents: Remote Sensing from Earth Observation Satellites / The Statistics of Remote Sensing Images / Remote Sensing Feature Selection and Extraction / Classification / Spectral Mixture Analysis / Estimation of Physical Parameters

  • Biomass Burning: Remote Sensing and Global and Geographical Distribution

    None

  • Remote Sensing via UAVS

    This chapter contains sections titled: * Introduction * Mounting of Sensors * Resolution of Sensors * Precision of Vehicle Instrumentation * Overall Geo-Registration Precision * Exercises * References

  • AggieAir: A Low-Cost Unmanned Aircraft System for Remote Sensing

    This chapter contains sections titled: * Introduction * Small UAS Overview * AggieAir UAS Platform * OSAM-Paparazzi Interface Design for IMU Integration * AggieAir UAS Test Protocol and Tuning * Typical Platforms and Flight Test Results * Chapter Summary * References ]]>

  • Cooperative Remote Sensing Using Multiple Unmanned Vehicles

    This chapter contains sections titled: * Consensus-Based Formation Control * Surface Wind Profile Measurement Using Multiple UAVs * Chapter Summary * References ]]>

  • Remote Sensing Using Single Unmanned Aerial Vehicle

    This chapter contains sections titled: * Motivations for Remote Sensing * Remote Sensing Using Small UAVs * Sample Applications for AggieAir UAS * Chapter Summary * References ]]>

  • Rough Surface Scattering and Remote Sensing

  • Geophysical Remote Sensing and Imaging

    Geophysical remote sensing and imaging is a key engineering discipline dealing with the remote sensing of the earth, oceans, atmosphere, and space. It covers vast areas as represented by the Geoscience and Remote Sensing Society (GRSS) of IEEE. This chapter discusses several techniques and applications of remote sensing and imaging. First, it reviews polarimetric radars as applied to the decomposition theorem, which helps to obtain medium characteristics from radar backscattering. Next, the chapter also discusses nonspherical particles and differential reflectivity and general eigenvalue formulations of nonspherical scattering. It then presents more fundamental formulations of space‐time vector radiative transfer and Wigner distributions and describes passive radars in relation to polarization and ocean wind directions. The chapter further discusses the inclusion of antenna temperature in the van Cittert‐Zernike theorem. Finally, it covers ionospheric dispersion and Faraday rotation effects on synthetic aperture radar (SAR) images.

  • Remote Sensing Satellites

    Satellites play an important role in remote sensing. This chapter discusses various topics related to remote sensing satellites including their principle of operation, their orbits, payloads on board and their use to acquire images, processing and analysis of these images using various digital imaging techniques and interpreting these images for studying different features of Earth for varied applications. It gives a descriptive view of these above‐mentioned topics with relevant illustrations wherever needed. Passive sensors record the amount of electromagnetic radiation reflected and/or emitted from the Earth's surface, and do not emit any electromagnetic radiation. In active sensor systems, the transmitter emits electromagnetic radiation of a particular wavelength band, depending upon the intended application. Three major remote sensing satellite missions namely, the Landsat, SPOT and Radarsat satellite systems, are also described in the chapter.



Standards related to Remote Sensing

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IEEE Standard for Ultrawideband Radar Definitions

This document organizes and standardizes the terms and definitions used in the field of ultrawideband (UWB) radar.


IEEE Standard for Ultrawideband Radar Definitions - Corrigendum 1

This document organizes and standardizes the terms and definitions used in the field of ultrawideband(UWB) radar.


IEEE Standard Letter Designations for Radar-Frequency Bands

Radar systems operate in frequency bands that since World War II have been identified by letter designations. To recognize and preserve accepted usage, the proposed revision would re-affirm the letter designations for radar, revising the current standard to update it regarding current International Telecommunication Union (ITU) radar band allocations and comments. No change in scope from the current standard is ...


IEEE Standard Radar Definitions

This standard is devoted to providing radar definitions. The standard includes terms formerly found in IEEE Std 172-1971, with the exception of a few terms that are common in both fields, and new and updated terms. IEEE Std 172-1983 was withdrawn in 1983. As radar technology and literature evolve, new terms will be added and obsolete terms deleted.



Jobs related to Remote Sensing

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