The Segmentation and detection of will target image for infrared homing guidance head are crucial technolyies for ground-air and surface-air missiles. This paper studies the effect and performance coparison of suppnaing largearea and low frequency background by use of six high-pass filters. Based on this
we propose an adaptive threshold method ofbackground supprasion and small target segmentation using image mean and histogram. In view of the continuity and regularity of motion for target and the randomnere for noise
the design of continuity filter and a technique via assembly line andpipeline scheme to detect target trajectory are considered. The methods rourched here are verified by a large number of resultS of experiments and comparisons.
Cross-Modal SAR Target Detection via Progressive Knowledge Transfer
Anchor-Free Transformer Algorithm for Aerial Remote Sensing Target Detection
Application of Improved Cascade R-CNN Algorithm in Target Detection
Combination Navigation and Positioning Method for Binocular Vision Assisted PDR
Design and Optimization of Target Detection Accelerator Based on Winograd Algorithm
Related Author
ZHAO Guo-wei
JIANG Jia-qing
DONG Gang-gang
YU Jiu-yang
HU Tian-hao
DAI Yao-nan
ZHANG De-an
XIA Wen-feng
Related Institution
National Key Laboratory of Radar Signal Processing, Xidian University
Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, School of Mechanical and Electrical Engineering, Wuhan Institute of Technology
Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang
School of Science, Zhejiang Science Technology University
School of Computer and Technology (School of Artificial Intelligence), Zhejiang Science Technology University