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Proceedings Paper

Survey and assessment of new trends in image processing for Earth observation
Author(s): Arthur E. C. Pece; Peter Johansen; Michael Schultz Rasmussen; Henning Skriver; Mikael Kamp Sørensen; Jesper Høyerup Thygesen
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Paper Abstract

As more and more Earth Observation (EO) data becomes available, the need to automate at least some aspects of data processing is apparent. The SURF project was funded by the European Space Agency (ESA) to provide a survey of image-processing methods for EO and an in-depth analysis and prototyping of some of the most promising methods. The survey has included (1) a list of application areas within EO; (2) the development of criteria for the evaluation of methods; (3) a classification of image processing tasks within EO, independent of the applications; (4) single-page descriptions of a wide range of methods. Based on this background work, a dozen methods were selected for further analysis and considered for prototyping. The next stage of the project consists in prototyping four of the methods subjected to in-depth analysis. This paper presents the results of the survey and a brief review of the methods selected for prototyping.

Paper Details

Date Published: 10 November 2004
PDF: 12 pages
Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); doi: 10.1117/12.565405
Show Author Affiliations
Arthur E. C. Pece, Heimdall Vision (Denmark)
Univ. of Copenhagen (Denmark)
Peter Johansen, Univ. of Copenhagen (Denmark)
Michael Schultz Rasmussen, Geographic Resource Analysis and Science Ltd., Univ. of Copenhagen (Denmark)
Henning Skriver, Technical Univ. of Denmark (Denmark)
Mikael Kamp Sørensen, Geographic Resource Analysis and Science Ltd., Univ. of Copenhagen (Denmark)
Jesper Høyerup Thygesen, Rovsing A/S (Denmark)


Published in SPIE Proceedings Vol. 5573:
Image and Signal Processing for Remote Sensing X
Lorenzo Bruzzone, Editor(s)

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