Geoscience and Remote Sensing Letters (GRSL)

The IEEE GEOSCIENCE AND REMOTE SENSING LETTERS is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts.
Papers should relate to the theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space, and the processing, interpretation, and dissemination of this information.
The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions. GRSL encourages the incorporation of “extended objects” or “multimedia” such as animations to enhance the shorter papers. As soon as papers are accepted and materials are available at IEEE, they will appear online through the IEEE digital library Xplore.

Editor Information

Alejandro FreryEditor: Prof. Alejandro C. Frery
Institution: Universidade Federal de Alagoas
Country: Brazil
Contact: acfrery@gmail.com
Bio: Alejandro Frery is currently with the Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil. His research interests are statistical computing and stochastic modeling.

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GRSL Impact Factor
GRSL has a 2010 Impact Factor of 1.82 and an average turnaround time close to 30 days. Moreover, as soon as papers are accepted and materials are available at IEEE, they will appear online through the IEEE digital library Xplore.

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Articles & Announcements

Optimizing Hopfield Neural Network for Spectral Mixture Unmixing on GPU Platform

The Hopfield neural network (HNN) has been demonstrated to be an effective tool for the spectral mixture unmixing of hyperspectral images. However, it is extremely time consuming for such per-pixel algorithm to be utilized in real-world applications. I…

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Bayesian Classification of Hyperspectral Imagery Based on Probabilistic Sparse Representation and Markov Random Field

This letter presents a Bayesian method for hyperspectral image classification based on the sparse representation (SR) of spectral information and the Markov random field modeling of spatial information. We introduce a probabilistic SR approach to estim…

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Utilizing Multiple Subpixel Shifted Images in Subpixel Mapping With Image Interpolation

In this letter, multiple subpixel shifted images (MSIs) were utilized to increase the accuracy of subpixel mapping (SPM), based on the fast bilinear and bicubic interpolation. First, each coarse spatial resolution image of MSI is soft classified to obt…

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Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes

An accurate estimation of biophysical variables is the key to monitor our Planet. Leaf chlorophyll content helps in interpreting the chlorophyll fluorescence signal from space, whereas oceanic chlorophyll concentration allows us to quantify the healthi…

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Retrieving Leaf Area Index From Landsat Using MODIS LAI Products and Field Measurements

Land surface models that operate at multiple spatial resolutions require consistent leaf area index (LAI) inputs at each scale. In order to produce LAI from Landsat imagery that is consistent with the Moderate Resolution Imaging Spectroradiometer (MODI…

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Investigation of the Capability of $Hhbox{-}alpha$ Decomposition of Compact Polarimetric SAR

Recently, there has been an increasing interest in compact polarimetry (CP), which helps to reduce the complexity, cost, mass, and data rate of synthetic aperture radar (SAR) systems while attempting to maintain many capabilities of a fully polarimetri…

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An Improved Land-Surface Albedo Algorithm With DEM in Rugged Terrain

The influence of topography on land-surface bidirectional reflectance and albedo should be considered in rugged terrain. However, land-surface albedo algorithms neglect topographic effects, leading to errors in estimating the albedo in rugged terrain. …

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A Knowledge-Based Target Relocation Method for Wide-Area GMTI Mode

This letter deals with the issue of moving-target relocation in wide-area ground moving-target indication for dual-channel radar systems. Due to channel mismatch, along-track baseline error, the existence of across-track baseline, etc., it is difficult…

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    Fees

    There will be voluntary page charges of $110/page assessed for the first 3 pages and a $200/page mandatory page charge for pages 4 and 5 for GRSL publication. Papers longer than 5 printed pages will not be published in GRSL but can be turned over to TGARS.

  • Submission Information

    Prospective authors should submit their manuscripts electronically to: http://mc.manuscriptcentral.com/grsl

    Instructions for creating new user accounts, if necessary, are available on the login screen. Please indicate that your submission is intended for GRSL by choosing “Letters” in pull down menu for manuscript type. Questions concerning the submission process should be addressed to tgrs-editor@ieee.org. Inquiries concerning subject material for GRSL should be sent to Prof. Paolo Gamba at: paolo.gamba-at-unipv.it.

    Authors who are unable to create electronic files should send five hard copies of the manuscript to:
    TGARS Manuscript Reivew Assistant,
    Geoscience and Remote Sensing Letters,
    IEEE Periodicals,
    445 Hoes Lane
    Piscataway, NJ 08855
    USA

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