Dim target trajectory-associated detection in bright earth limb background

Penghui Chen; Xiaojian Xu; Xiaoyu He; Yuesong Jiang

doi:10.1117/12.2187700

2 September 2015 Dim target trajectory-associated detection in bright earth limb background

Penghui Chen, Xiaojian Xu, Xiaoyu He, Yuesong Jiang

Proceedings Volume 9596, Signal and Data Processing of Small Targets 2015; 95960C (2015) https://doi.org/10.1117/12.2187700
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

The intensive emission of earth limb in the field of view of sensors contributes much to the observation images. Due to the low signal-to-noise ratio (SNR), it is a challenge to detect small targets in earth limb background, especially for the detection of point-like targets from a single frame. To improve the target detection, track before detection (TBD) based on the frame sequence is performed. In this paper, a new technique is proposed to determine the target associated trajectories, which jointly carries out background removing, maximum value projection (MVP) and Hough transform. The background of the bright earth limb in the observation images is removed according to the profile characteristics. For a moving target, the corresponding pixels in the MVP image are shifting approximately regularly in time sequence. And the target trajectory is determined by Hough transform according to the pixel characteristics of the target and the clutter and noise. Comparing with traditional frame-by-frame methods, determining associated trajectories from MVP reduces the computation load. Numerical simulations are presented to demonstrate the effectiveness of the approach proposed.

Citation Download Citation

Penghui Chen, Xiaojian Xu, Xiaoyu He, and Yuesong Jiang "Dim target trajectory-associated detection in bright earth limb background", Proc. SPIE 9596, Signal and Data Processing of Small Targets 2015, 95960C (2 September 2015); https://doi.org/10.1117/12.2187700

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KEYWORDS

Target detection

Signal to noise ratio

Image segmentation

Hough transforms

Binary data

Sensors

Interference (communication)

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