Proceedings of the Korean Society of Broadcast Engineers Conference (한국방송∙미디어공학회:학술대회논문집)
- 2009.01a
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- Pages.85-88
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- 2009
DRF-based Object Detection Using the Object Adaptive Patch in the Satellite Imagery
- Choi, Hyoung-Min (School of Electrical Engineering ASRI Seoul National University) ;
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Lee, Kyoung-Mu
(School of Electrical Engineering ASRI Seoul National University) ;
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Lee, Sang-Uk
(School of Electrical Engineering ASRI Seoul National University)
- Published : 2009.01.12
Abstract
In this paper, we propose a DRF-based object detection method using the object adaptive patch in the satellite imagery. It is a Discriminative Random Fields (DRF) based work, so the detection is done by labeling to the possible patches in the image. For the feature information of each patch, we use the multi-scale and object adaptive patch and its texton histogram, instead of using the single scale and fixed grid patch. So, we can include contextual layout of texture information around the object. To make object adaptive patch, we use "superpixel lattice" scheme. As a result, each group of labeled patches represents the object or object's presence region. In the experiment, we compare the detection result with a fixed grid scheme and shows our result is more close to the object shape.