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A Method to Detect Object of Interest from Satellite Imagery based on MSER(Maximally Stable Extremal Regions)
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 Title & Authors
A Method to Detect Object of Interest from Satellite Imagery based on MSER(Maximally Stable Extremal Regions)
Baek, Inhye;
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 Abstract
This paper describes an approach to detect interesting objects using satellite images. This paper focuses on the interesting objects that have common special patterns but do not have identical shapes and sizes. The previous technologies are still insufficient for automatic finding of the interesting objects based on operation of special pattern analysis. In order to overcome the circumstances, this paper proposes a methodology to obtain the special patterns of interesting objects considering their common features and their related characteristics. This paper applies MSER(Maximally Stable Extremal Regions) for the region detection and corner detector in order to extract the features of the interesting object. This paper conducts a case study and obtains the experimental results of the case study, which is efficient in reducing processing time and efforts comparing to the previous manual searching.
 Keywords
MSER(Maximally Stable Extremal Regions);SIFT(Scale Invariant Feature Transform);Conner Detector;Maximally Stable Region;Local Extremum;
 Language
Korean
 Cited by
 References
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