Our planet is continuously observed by airborne and satellite sensors that acquire tons of data to be processed and analyzed daily. Different problems are posed from a signal processing and machine learning points of view: the acquired signals have to be processed in a timely manner, transmitted, further corrected from different distortions, eventually compressed, and ultimately analyzed to extract valuable information from them with, for instance, advanced classification or regression methods. Recently, new learning paradigms have been introduced and latest advances in signal and image processing tools have been incorporated to the current toolbox of remote sensing data users.
The goal of this special issue is to summarize the recent advances in the remote sensing signal/image processing field in a comprehensive manner. The topics of interest include, but are not limited to:
1. Image coding
2. Image classification and target detection 3. Image denoising and restoration 4. Model inversion and function approximation of bio-geo-physical variables 5. Source separation and signal unmixing 6. Feature selection/extraction 7. Manifold characterization and data visualization 8. Data fusion, pansharpening, downscaling
Prospective authors should visit
http://www.signalprocessingsociety.org/publications/periodicals/jstsp/
for information on paper submission. Manuscripts should be submitted using the Manuscript Central system at
http://mc.manuscriptcentral.com/jstsp-ieee.
Manuscripts will be peer reviewed according to the standard IEEE process.
Manuscript submission due: Apr 20, 2010
First review completed: Jul 15, 2010
Revised manuscript due: Aug 31, 2010
Second review completed: Oct 30, 2010
Final manuscript due: Nov 30, 2010
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