Target Type Recognition Algorithm of Imaging GIF Fuze

Bin Liu; Yang Yu Fan; Jian Guo

doi:10.4028/www.scientific.net/AMM.416-417.1170

Paper Titles

Analysis of Sensitivity and Diffusion Based on Video Fractional Spectrum
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Design and Implementation of Speech Recognition System Based on FPGA
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Design and Development of Vehicle License Plate Recognition (VLPR) System to Improve Parking Lot Management
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Investigation the Influence of DCT Coefficients on the Image Retrieval Performance
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Target Type Recognition Algorithm of Imaging GIF Fuze
p.1170

A Speech Feature Extraction Algorithm Based on the Nonlinear Hopf Cochlea Model
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Radar Orthogonal Frequency Division Multiplexing Waveforms Agility Processing with Compressive Sensing
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Target Tracking Technology Basing on Pedestrian Video
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Online Rebar Recognition Based on Multi-View Images
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 416-417Target Type Recognition Algorithm of Imaging GIF...

Target Type Recognition Algorithm of Imaging GIF Fuze

Abstract:

According to the requirement of aerial infrared target recognition, a group of image segmentation, edge detection, feature extraction, type recognition algorithms are put forward in this article after analysis and comparison of many algorithms. The simulation results show that the typical aerial target type recognition rate of this group of algorithms can reach more than 80%, so that the algorithms have higher ability of target type recognition, and its real-time performance can meet the requirement of imaging GIF fuze.

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Periodical:

Applied Mechanics and Materials (Volumes 416-417)

Pages:

1170-1175

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.416-417.1170

Citation:

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Online since:

September 2013

Authors:

Bin Liu, Yang Yu Fan, Jian Guo

Keywords:

Fourier Descriptors, Image Processing, Image Segmentation, Neural Network (NN), Target Recognition

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