Paper
8 October 2015 Research on technology of target real-time detection under sea-sky background
Shiyun Wang, Yueqiang Li, Bin Du, Hongtao Wang, Rui Han
Author Affiliations +
Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967509 (2015) https://doi.org/10.1117/12.2197019
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
Optoelectronic imaging system which loaded on ships have several imaging channels generally. They can cover visible light (daylight and low-light), medium wave infrared and long wave infrared. To that systems have only two channels, visible light imaging is kept. In this paper, for the requirement of target real-time detection and classification under sea-sky background, image data from different channels are processed independently using Harris feature of targets and texture feature of background, then the result data from different channels are fused and compared to delete fake targets and interference from background, in order to reduce false alarm rate and improve the detection location precision. Based on the location relationship between targets and different type background (sky or sea), the target types are determined. For the rigidly requirement of system real time, multithread mechanism and big neighborhood processor are applied for parallel data processing, in order to reduce the processing time less than one frame time. At last, the experiment has been done on two channels system, approving that the method in this paper can improve the comprehensive searching performance of optoelectronic imaging system.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shiyun Wang, Yueqiang Li, Bin Du, Hongtao Wang, and Rui Han "Research on technology of target real-time detection under sea-sky background", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967509 (8 October 2015); https://doi.org/10.1117/12.2197019
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KEYWORDS
Target detection

Imaging systems

Detection and tracking algorithms

Image processing

Optoelectronics

Corner detection

Image segmentation

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