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

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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