Infrared dim target detection based on fractal dimension and third-order characterization  

作　　者：王鑫 刘磊 唐振民 

机构地区：[1]School of Computer Science and Technology,Nanjing University of Science and Technology [2]School of Electronic Engineering and Optoelectronic Technology,Nanjing University of Science and Technology

出　　处：《Chinese Optics Letters》2009年第10期931-933,共3页中国光学快报（英文版）

摘　　要：We propose an improved algorithm based on fractal dimension and third-order characterization to detect dim target with cluttered background in an infrared （IR） image. We also illustrate the performance and efficiency comparisons between the presented algorithm and the traditional fractal detection method on real IR images. The experimental results show that the proposed algorithm is robust and efficient for IR dim target detection.We propose an improved algorithm based on fractal dimension and third-order characterization to detect dim target with cluttered background in an infrared （IR） image. We also illustrate the performance and efficiency comparisons between the presented algorithm and the traditional fractal detection method on real IR images. The experimental results show that the proposed algorithm is robust and efficient for IR dim target detection.

关 键 词：ALGORITHMS Partial discharges Target drones Target tracking TARGETS 

分 类 号：TN215[电子电信—物理电子学]