Transactions on Geoscience & Remote Sensing

About the Publication

Description

The internationally subscribed monthly journal, Transactions on Geoscience and Remote Sensing (TGARS), publishes advances in sensing instruments and techniques used for the acquisition of geoscientific information as well as techniques for processing, enhancing and interpreting information derived from remote sensing instruments. Transactions on GRS is part of the basic service received with GRS membership or GRSS affiliation.

Editor Information

rufEditor: Prof. Christopher S. Ruf
Institution: University of Michigan
Country: US
Contact: cruf@umich.edu
Bio: Chris Ruf is Professor of Atmospheric Science and Electrical Engineering and Director of the Space Physics Research Laboratory (SPRL) at the University of Michigan. SPRL is a research unit in the Dept. of Atmospheric, Oceanic and Space Sciences specializing in the fabrication of spaceborne scientific instruments. See Full Bio »

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Articles & Announcements

Special issue of the IEEE Transactions on Geoscience and Remote Sensing on Space Technology

Guest Editors: Maria Petrou, George A Lampropoulos and William J Emery
This special issue recognizes the need for cross-disciplinary collaboration and offers a much needed outlet for publishing inter-disciplinary research. The emphasis of the call is on the inter-dependence of software, applications and sensor technology, as it is clear that one cannot totally disassociate hardware from [...]

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TGRS Special Issue on IGARSS 2010

IGARSS 2010 marks the 30th anniversary for GRSS and IGARSS and continues the excellent tradition of gathering world- class scientists, engineers and educators engaged in the fields of geoscience and remote sensing to meet and present their latest activities. This is the second time that the event was held in Honolulu and the first time [...]

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IEEE TGRS Special Issue on Spectral Unmixing of Remotely Sensed Images

A Special Issue of the IEEE Transactions on Geoscience and Remote Sensing on the topic of Spectral Unmixing of Remotely Sensed Data has been recently approved by the IEEE Geoscience and Remote Sensing Society (GRSS). Spectral unmixing has been an alluring exploitation goal since the earliest days of remote sensing. Due to limited spatial resolution, the spectral signatures collected in natural environments are invariably a mixture of the signatures of the various materials found within the spatial extent of the ground instantaneous field view of the imaging instrument. In recent years, the availability of instruments with a number of spectral bands that exceeds the number of spectral mixture components has fostered active research efforts in this area.

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EUSAR 2010: Special Issue of IEEE Transactactions

This special issues is associated with the 8th European Conference on Synthetic Aperture Radar (EUSAR) which was in AAchen in June 2010 (http://www.eusar.de). EUSAR is the only international conference worldwide entirely dedicated to the technology, techniques development, and applications of Synthetic Aperture Radar for remote sensing. For the last 15 years EUSAR has provided an [...]

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Definition of ICESat Selection Criteria for Their Use as Height References for TanDEM-X

The TanDEM-X satellite synthetic aperture radar (SAR) mission, which is the result of the partnership between the German Aerospace Center (DLR) and Astrium GmbH, has the goal to deliver a high-precision global digital elevation model (DEM). The X-band …

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Terrestrial Quadstatic Interferometric Radar Observations of Mars

A new technique for resolving the ambiguity inherent in delay-Doppler radar observations of Mars has been developed and implemented using a suite of data collected during 2001, 2003, and 2005 oppositions. New recording systems, processing techniques, a…

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PCE: Piecewise Convex Endmember Detection

A new hyperspectral endmember detection method that represents endmembers as distributions, autonomously partitions the input data set into several convex regions, and simultaneously determines endmember distributions (EDs) and proportion values for ea…

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An Efficient and Flexible Statistical Model Based on Generalized Gamma Distribution for Amplitude SAR Images

In the context of synthetic aperture radar (SAR) image processing and applications, the precise modeling of statistical knowledge is a crucial problem. In this paper, an efficient and flexible statistical model, called generalized Gamma Rayleigh (G¿R)…

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