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http://dx.doi.org/10.5515/KJKIEES.2017.28.5.373

Target Detection Technique in a DBS(Doppler Beam Sharpening) Image  

Kong, Young-Joo (LIG Nex1 Co., Ltd.)
Kwon, Jun-Beom (LIG Nex1 Co., Ltd.)
Kim, Hong-Rak (LIG Nex1 Co., Ltd.)
Woo, Seon-Keol (LIG Nex1 Co., Ltd.)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.28, no.5, 2017 , pp. 373-381 More about this Journal
Abstract
DBS(Doppler Beam Sharpening) algorithm is a way to improve azimuth resolution performance in radar. Since DBS image includes the is information about the search area of radar, various clutter components exist besides the target to be detected. To detect and track the desired target in a DBS image, it must be able to identify a target and the clutter components. In this paper, we describe how to use image size and terrain information(DTED) to identify the target in a DBS image. By using morphological filter and chain code, it acquires image size and excludes the clutter components. By matching with DTED, we determine target.
Keywords
DBS; Morphological Filter; Erosion; Chain Code; DTED;
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