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Robust coastal region detection method using image segmentation and sensor LOS information for infrared search and track

Title
Robust coastal region detection method using image segmentation and sensor LOS information for infrared search and track
Authors
Kim, SunghoSun, Sun-GuKwon, SoonKim, Kyung-Tae
DGIST Authors
Kwon, Soon
Issue Date
2013
Citation
Automatic Target Recognition XXIII, 8744
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
ISSN
0277-786X
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. © 2013 SPIE.
URI
http://hdl.handle.net/20.500.11750/3821
DOI
10.1117/12.2015720
Publisher
SPIE
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


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