Survey and assessment of new trends in image processing for Earth observation

Arthur E. C. Pece; Peter Johansen; Michael Schultz Rasmussen; Henning Skriver; Mikael Kamp Sørensen; Jesper Høyerup Thygesen

doi:10.1117/12.565405

10 November 2004 Survey and assessment of new trends in image processing for Earth observation

Arthur E. C. Pece, Peter Johansen, Michael Schultz Rasmussen, Henning Skriver, Mikael Kamp Sørensen, Jesper Høyerup Thygesen

Author Affiliations +

Proceedings Volume 5573, Image and Signal Processing for Remote Sensing X; (2004) https://doi.org/10.1117/12.565405
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain

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.

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Arthur E. C. Pece, Peter Johansen, Michael Schultz Rasmussen, Henning Skriver, Mikael Kamp Sørensen, and Jesper Høyerup Thygesen "Survey and assessment of new trends in image processing for Earth observation", Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); https://doi.org/10.1117/12.565405

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KEYWORDS

Image segmentation

Prototyping

Image processing

Remote sensing

Agriculture

Feature extraction

Earth observing sensors

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