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

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

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

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

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

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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IEEE-USA E-Books

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

    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 tasks on grid platform. A case of remote sensing quantitative retrieval grid workflow is shown in section 3.

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

    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 soil depth above which contributes more than 99% power of the total signal. Based on a three-layer non-coherent model (air-soil-aluminum), sensitive analysis was conducted to find out parameters which have more effect on penetration depth. Then three parameters including soil moisture, frequency and soil temperature were selected to build a simple statistic model to calculate the penetration depth of passive microwave remote sensing. To validate the statistic model, two controlled experiments were designed and carried out using a Truck-mounted Multi-frequency Microwave Radiometer (TMMR). It was shown that the penetration depth calculated from field experiment data coincided well with the statistic model.

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

    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 research status about science workflow applied to geosciences' domain. In the design of Grid workflow data structure, the authors illustrate the abstract Grid workflow's data structure for remote sensing quantitative retrieval. And then the authors give the key operation algorithms of the abstract Grid workflow data structure. In the implementation part, the authors have completed the abstract graphical Grid workflow composition system for remote sensing quantitative retrieval service. Using it, users can construct a workflow based on remote sensing application just by dragging and clicking the components of interest provided by the system.

  • Analysis of remote sensing quantitative inversion in cloud computing

    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 inversion.

  • Charms - China Agricultural Remote Sensing Monitoring System

    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 in the world, and they are also most import grain crops in China. According to the statistic data, the acreage and production of these crops is more than 85% of that of all grain crops in China. After accurate monitoring of these crops, we will know the overall grain production in China. Other important crops, including soybean, cotton, canola and sugarcane are also among the monitoring target crops in the system. Besides, the grassland productivity, degradation of grassland and grass- livestock balance are also monitored and evaluated in the system. The system of CHARMS consists of following components: the database sub-system, crop acreage change monitoring module, crop yield estimation module, crop growth monitoring module, soil moisture monitoring module, disaster monitoring module and information service module. In CHARMS, remote sensing, CIS, GNSS and conventional methods have been integrated and sampling methods have been employed to monitor crop production in China, especially in the key regions. With the progressively monitoring of growth and drought in crop planting regions, crop-specific yield prediction models have been set up to estimate the yield and production in the nation. The monitoring results have been submitted to Mnistry of Agriculture and other agriculture production authorities, to provide decision-support information for their everyday management and policy-making.

  • Enteromorpha Prolifra aerial remote sensing monitoring using array camera

    In summer of 2008, an outbreak of Enteromorpha Prolifra (EP), a kind of green algae, occurred in the Yellow Sea of china and posed a serious threat to the 29th Olympic Sailing Games. A color array camera was installed on the aircraft and used to monitoring the spatial distribution of EP. In this paper, we measured the spectral properties of EP and analyzed the R, G, B three band aerial remote sensing images which contains EP, sea water and sunglint. After preprocessing of array images, a decision tree was constituted considering the analysis which can retrieval EP and eliminate the sunglint from images. The retrieval results were validated by field survey.

  • Measuring and simulating passive C-band microwave relief effects over uncovered land surface in remote sensing

    A ground based experiment measuring relief effects on microwave radiation at C band (6.925 GHz) was carried on. According to the results of the field observation, relief effects were dived into primary and secondary effects. Both effects based we developed a relief effect simulated model that provides a reliable method to describe microwave radiation properties over mountain areas.

  • The task scheduling for Remote Sensing Quantitative Retrieval based on hierarchical grid computing platform

    The Remote Sensing Quantitative Retrieval is not only a Compute-intensive problem, but also a Data-intensive problem. One of the most effective solutions is Grid Computing platform built on the basis of network, which is a scalable virtual unified platform with unlimited computing power and storage capacity. The RSSN (Remote Sensing Information Service Grid Node) is a PC cluster for Remote Sensing Quantitative Retrieval. It was used for producing aerosol optical depth (AOD) production covered the land area of Asia. We designed the cluster as a hierarchical one, and achieved a Global Task Scheduler for the workflow process, improved the system performance to some extent.

  • A knowledge-based method for road damage detection using high-resolution remote sensing image

    Road damage detection from high-resolution remote sensing image is critical for natural disaster investigation and disaster relief. In a disaster context, the pair of pre-disaster and post-disaster road data for change detection are difficult to obtain due to the mismatch of different data sources, especially for rural areas where the pre-disaster data (i.e. remote sensing imagery or vector map) are hard to obtain. In this study, a knowledge-based method for road damage detection solely from post-disaster high-resolution remote sensing image is proposed. The road centerline is firstly extracted based on the preset road seed points. Then, features such as road brightness, standard deviation, rectangularity, aspect ratio are selected form a knowledge model. Finally, under the guidance of the road centerline, the post-disaster roads are extracted and the damaged roads were detected by applying the knowledge model. The newly developed method is evaluated using a WorldView-1 image over Wenchuan, China acquired three days after the earthquake in May 15, 2008. The results show that the producer's accuracy (PA) and user's accuracy (UA) reached about 90% and 85% respectively, indicating that the proposed method is effective for road damage detection. This approach also significantly reduces the need for pre-disaster remote sensing data.

  • Wet snow detection in the south of China by passive microwave remote sensing

    Snow mapping is of great importance in meteorological, hydrology and global change researches. In the heavy snow event in 2008 in the south of China, the optic remote sensing fails to map snow cover due to the existence of thick clouds, and the traditional passive microwave snow detection algorithm could only be used for dry snow. Therefore, to map snowcover in the south of China where the snowpacks are mostly wet, shallow snow, AMSR-E brightness temperatures from Jan 1stto Feb 20th, 2008 is used to analyze the brightness temperature characteristics in the region of 23-43°N, 102-122°E. Eight land surface types are extracted based on the site-observed snow depth and ground temperature, IMS (Interactive Multi-sensor Snow and Ice Mapping System) and MODIS snowcover. Then, a snow detection decision tree algorithm is established. Comparison of the algorithm-detected snowcover with the IMS product in 2008 and 2011 shows that, the use of 89 GHz channel can improve the snow-detection ability in the southern part of the study region. The performance of the algorithm in the sparse-vegetated region is better than that in the forest-covered region. The total accuracy of the algorithm is about 94%.



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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