scholarly journals Dim moving target detection in multispectral IR image sequence based on GLRT

2012 ◽  
Vol 30 (2) ◽  
pp. 149-155
Author(s):  
Jian-Lai WANG ◽  
Chun-Ling YANG ◽  
Jing-Min DAI
Keyword(s):  
Target Detection ◽  
Image Sequence ◽  
Moving Target ◽  
Moving Target Detection

scholarly journals Moving Target Detection with Modified Logarithm Background Subtraction and Its Application to the GF-3 Spotlight Mode

2019 ◽  
Vol 11 (10) ◽  
pp. 1190
Author(s):  
Wenjie Shen ◽  
Wen Hong ◽  
Bing Han ◽  
Yanping Wang ◽  
Yun Lin
Keyword(s):  
False Alarm ◽  
Target Detection ◽  
Background Subtraction ◽  
Image Sequence ◽  
False Alarms ◽  
Moving Target ◽  
Constant False Alarm Rate ◽  
Moving Targets ◽  
Moving Target Detection ◽  
Original Algorithm

Spaceborne spotlight SAR mode has drawn attention due to its high-resolution capability, however, the studies about moving target detection with this mode are less. The paper proposes an image sequence-based method entitled modified logarithm background subtraction to detect ground moving targets with Gaofen-3 Single Look Complex (SLC) spotlight SAR images. The original logarithm background subtraction method is designed by our team for airborne SAR. It uses the subaperture image sequence to generate a background image, then detects moving targets by using image sequence to subtract background. When we apply the original algorithm to the spaceborne spotlight SAR data, a high false alarm problem occurs. To tackle the high false alarm problem due to the target’s low signal-to-noise-ratio (SNR) in spaceborne cases, several improvements are made. First, to preserve most of the moving target signatures, a low threshold CFAR (constant false alarm rate) detector is used to get the coarse detection. Second, because the moving target signatures have higher density than false detections in the coarse detection, a modified DBSCAN (density-based spatial-clustering-of-applications-with-noise) clustering method is then adopted to reduce false alarms. Third, the Kalman tracker is used to exclude the residual false detections, due to the real moving target signature having dynamic behavior. The proposed method is validated by real data, the shown results also prove the feasibility of the proposed method for both Gaofen-3 and other spaceborne systems.

An Algorithm for Moving Target Detection in Dynamic Background Based on Gray-Weighted Kernel Function

2013 ◽  
Vol 760-762 ◽  
pp. 1874-1878
Author(s):  
Lu Ping Wang ◽  
Lu Ping Zhang ◽  
Ming Zhao
Keyword(s):  
Image Registration ◽  
Target Detection ◽  
Kernel Function ◽  
Image Sequence ◽  
Moving Target ◽  
Moving Target Detection ◽  
Dynamic Background ◽  
Registration Error ◽  
Weighted Kernel ◽  
Dynamic Series

A new detecting algorithm based on gray-weighted kernel function is proposed for the moving target detection (MTD) in dynamic series of image.This algorithm firstly realizes image sequence registration by using the biggest gradient point. Then divides the image into 32*32 sub-images. The moving target can be finally detected based on the changes of gray-weighted kernel function. The testing result shows that the algorithm can detect the moving target in real-time and can suppress the influence caused by image registration error and gray fluctuation effectively.

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