@inproceedings{18ce9f6197594f289aa4f3b4f1bcc31b,
title = "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.",
keywords = "Fourier descriptors, Image processing, Image segmentation, Neural network, Target recognition",
author = "Bin Liu and Fan, {Yang Yu} and Jian Guo",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.416-417.1170",
language = "英语",
isbn = "9783037858639",
series = "Applied Mechanics and Materials",
pages = "1170--1175",
booktitle = "Linear Drives for Industry Applications IX",
note = "9th International Symposium on Linear Drives for Industry Applications, LDIA 2013 ; Conference date: 07-07-2013 Through 10-07-2013",
}