Geomatics covers the science and technology of gathering different sources of geospatial data, which after storing, interpreting, analyzing, modelling and distributing, can be turned into useful geographic information. Geomatics involves the tools and techniques used in surveying, cartography, photogrammetry, remote sensing, satellite navigation systems, geographical information systems and other earth-related disciplines.

January 22, 2011

Semantics in High Resolution Earth Observation Imagery Call for Papers


Call For Papers

Guest Editors: Roger L. King, Mihai Datcu, Chi-Ren Shyu, and Eric Miller
High resolution Earth Observation (EO) data has increased significantly over the last decades with orbital and sub-orbital sensors collecting and transmitting to Earth receiving stations several terabytes of data per day. This data acquisition rate is a major challenge to the existing data exploitation and dissemination approaches used by the various agencies (e.g., ESA, NASA, NOAA or national agencies) charged with extracting information from these images. And, with plans for more high resolution EO systems the challenge is increasingly going to be how to increase the usability of the millions of images being collected to a larger and larger group of end user applications (e.g., climate change, security, land use, weather)? To facilitate knowledge discovery from high resolution EO images, researchers around the world have begun to tackle the formidable challenge of developing concepts, tools, and applications for extracting information from the petabytes of high resolution EO images. This is a difficult challenge which will require cooperative solutions integrating a variety of methods of soft computing, information semantics and the semantic web, advanced statistics, and probabilistic reasoning. The ultimate goal is to have machines more closely interacting with end users at or near human conceptual levels (i.e. automate the human remote sensing analyst). Unlike the respective hard computing methods, soft computing may cope with problems which deal with imprecision, uncertainty and learning, and are better candidates to construct systems and models which are simple, applicable, user-friendly and fast.
The submitted papers should focus on the use of semantics for providing remote sensing analysts with new sources of information from high resolution imagery. Suggested areas of contribution for the issue include ontologies, knowledge representation, metadata, interoperability, and spatial queries to name a few. All contributions that meet the theme of the special issue will be considered. Sensing applications of Space

Publication Schedule

Call for Submissions: 1 October 2010
Deadline for Submissions: 1 December 2010
Special Issue Publication: February 2012
All submitted papers will be subject to the standard TGRS reviewing process.


Papers should be submitted through the TGRS web page
Questions concerning the submission process should be addressed to
tgrseditor@ieee.org Other questions concerning the Special Issue should be addressed to the

Guest Editors:

Roger King
Mississippi State University
Email: rking@ece.msstate.edu
Mihai Datcu
German Aerospace Center
(DLR)
Email:
mihai.datcu@dlr.de
Chi-Ren Shyu
University of Missouri
Email:
ShyuC@missouri.edu
Eric Miller
Tufts University
Email: elmiller@ece.tufts.edu

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