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Proceedings Paper

Robust coastal region detection method using image segmentation and sensor LOS information for infrared search and track
Author(s): Sungho Kim; Sun-Gu Sun; Soon Kwon; Kyung-Tae Kim
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Paper Abstract

This paper presents a novel coastal region detection method for infrared search and track. The coastal region detection is critical to home land security and ship defense. Detected coastal region information can be used to the design of target detector such as moving target detection and threshold setting. We can detect coastal regions robustly by combining the infrared image segmentation and sensor line-of-sight (LOS) information. The K-means-based image segmentation can provide initial region information and the sensor LOS information can predict the approximate horizon location in images. The evidence of coastal region is confirmed by contour extraction results. The experimental results on remote coasts and near coasts validate the robustness of the proposed coastal region detector.

Paper Details

Date Published: 20 May 2013
PDF: 11 pages
Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440D (20 May 2013); doi: 10.1117/12.2015720
Show Author Affiliations
Sungho Kim, Yeungnam Univ. (Korea, Republic of)
Sun-Gu Sun, Agency for Defense Development (Korea, Republic of)
Soon Kwon, Daegu Gyeongbuk Institute of Science and Technology (Korea, Republic of)
Kyung-Tae Kim, Pohang Univ. of Science and Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 8744:
Automatic Target Recognition XXIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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