Locating regions-of-interest for the Mars Rover expedition

Authors: Privitera, C. M.; Azzariti, M.; Stark, L. W.

Source: International Journal of Remote Sensing, Volume 21, Number 17, 2000 , pp. 3327-3347(21)

Publisher: Taylor and Francis Ltd

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In this paper, we demonstrate that image processing algorithms (IPAs) can perform a new visual task, namely, selecting and locating regions-of-interest (ROIs). This task has been defined on the basis of a theory of human vision: the scanpath theory. Further, using the measures Sp and Ss, the similarity of location and ordering, respectively, developed over the years in studying human perception and the active looking role of eye movements, we could quantify the efficient and efficacious manner by which IPAs can imitate human vision in locating ROIs. The methodology in this paper is applied to the Mars Rover exploration.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/014311600750019930

Publication date: November 20, 2000

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