Geoscience and Remote Sensing Letters (GRSL)

The IEEE GEOSCIENCE AND REMOTE SENSING LETTERS is a quarterly 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. A paper version of each paper will appear in January, April, July, and October.

Editor Information

rufEditor: Prof. Paolo Gamba
Institution: University of Pavia
Country: Italy
Contact: paolo.gamba@unipv.it
Bio: Paolo Gamba is currently Associate Professor of Telecommunications at the University of Pavia, Italy. He received the Laurea degree in Electronic Engineering “cum laude” from the University of Pavia, Italy, in 1989, and the Ph.D. degree in Electronic Engineering from the same University in 1993. See Full Bio »

GRSL Impact Factor
GRSL has currently an Impact Factor above 1.8 and an average turnaround time of 35 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

Terrain Correction for Increasing the Evapotranspiration Estimation Accuracy in a Mountainous Watershed

Evapotranspiration (ET) plays a major role in the energy and water balances of the hydrological cycle. Monitoring ET at a regional level has become feasible with the advance of remote-sensing technology. This letter presents a module that incorporates …

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On a Novel Approach Using MLCC and CFAR for the Improvement of Ship Detection by Synthetic Aperture Radar

Multilook cross correlation (MLCC) is a useful technique in extracting the images of ships embedded in heavy sea clutter by synthetic aperture radar (SAR). In the ship detection experiment in 2006 by Phased Array L-band Synthetic Aperture Radar (PALSAR…

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Satellite Image Contrast Enhancement Using Discrete Wavelet Transform and Singular Value Decomposition

In this letter, a new satellite image contrast enhancement technique based on the discrete wavelet transform (DWT) and singular value decomposition has been proposed. The technique decomposes the input image into the four frequency subbands by using DW…

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Spectral Mixture Analysis of Hyperspectral Scenes Using Intelligently Selected Training Samples

In this letter, we address the use of artificial neural networks for spectral mixture analysis of hyperspectral scenes. We specifically focus on the issue of how to effectively train neural network architectures in the context of spectral mixture analy…

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Characterization of a Bayesian Ship Detection Method in Optical Satellite Images

This letter presents the experimental results obtained for an automatic predetection of small ships (about 5 × 5 pixels) in high-resolution optical satellite images. Our images are panchromatic SPOT 5 images, whose resolution is 5 m per pixel…

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A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures

A typical approach in supervised learning is to select an accuracy measure and train a predictor that maximizes it. This can be insufficient in remote-sensing applications where predictor performance is often evaluated over multiple domain-specific acc…

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A Novel Strategy for the Surface Current Determination From Marine X-Band Radar Data

This letter deals with the sea state monitoring starting from marine radar images in the X-band. For such a topic, one of the key factors affecting the reliability of reconstruction procedure is the determination of the equivalent surface current that …

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Random Pixel Purity Index

Endmember extraction has received increasing interest in hyperspectral image analysis. One widely used endmember extraction algorithm is pixel purity index (PPI), which finds endmembers via a set of random vectors, called skewers. Several issues arise …

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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-l@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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