红外技术Issue(8)：635-641,7.
一种基于多特征参数融合的弱小目标检测算法
A Dim Small Target Detection Algorithm Based on Multi-Features Fusion Algorithm
摘要
Abstract
Based on the transcendental information under the specific scene, by analyzing multiple features’ performance on dim small target detection, this paper designs a dim small target detection algorithm, which combines multiple features’ Eigen values by taking advantage of the multiple features. Taking the following three features as examples, the Space Gray Model Matching, the Region Gray Weighed Entropy and the Adaptive Thresholding in Frequency Domain, based on the transcendental detection results of multiple features under the specific scene, we propose two multi-Eigen values fusion method by using probability theory. Experiments show that the two methods can both effectively improve the performance of dim small target detection in a single frame.关键词
目标检测/特征融合/模型匹配/弱小目标Key words
target detection/multi-Eigen values fusion/model matching/dim small target分类
信息技术与安全科学引用本文复制引用
张双垒,陈凡胜,王涛..一种基于多特征参数融合的弱小目标检测算法[J].红外技术,2015,(8):635-641,7.基金项目
中科院重大创新项目，编号G09K1200B00。 （）
