DocumentCode
535191
Title
A novel spatial algorithm for PMMW single-frame target detection
Author
Yang, Hong ; Hu, Fei
Author_Institution
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol. (HUST), Wuhan, China
Volume
2
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
596
Lastpage
599
Abstract
To detect small targets from passive millimeter wave (PMMW) images, a spatial filter algorithm based on dualistic taylor series is proposed for background suppression. First, a linear model is used to represent each pixel of a PMMW image. Secondly, target detection is performed on local regions in PMMW images by the spatial filter algorithm and the constant false alarm rate (CFAR) detector. The spatial filter algorithm uses a pedestrian detection module to suppress background. The CFAR detector is used to afford a threshold, with its help targets can be extracted. Simulation results show that the proposed method performs well for PMMW small target detection.
Keywords
image representation; millimetre wave imaging; object detection; spatial filters; background suppression; constant false alarm rate detector; dualistic Taylor series; linear model; passive millimeter wave image; pedestrian detection module; pixel representation; single-frame target detection; spatial filter algorithm; Detectors; Noise; Object detection; Optical filters; Pixel; Spatial filters; CFAR; PMMW; small target detection; spatial filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5647258
Filename
5647258
Link To Document