New CFAR target detector for SAR images based on kernel density estimation and mean square error distance
- ISSN号:1004-4132
- 期刊名称:《系统工程与电子技术:英文版》
- 分类:TN958[电子电信—信号与信息处理;电子电信—信息与通信工程] O211.67[理学—概率论与数理统计;理学—数学]
- 作者机构:[1]Department of Electronic Engineering, Tsinghua University, Beijing 100084, P. R. China, [2]Beijing Institute of Environmental Features, Beijing 100854, R R. China
- 相关基金:This work was supported by the National Natural Science Founda- tion of China (40871157; 41171317) and the Foundation of Advance Research of Science and Technology for Chinese National Defence (9140C620201902).
关键词:
SAR图像, 核密度估计, 均方误差, 目标检测, 距离, 恒虚警, 概率密度函数, CFAR检测, synthetic aperture radar (SAR), target detection, con- stant false alarm rate (CFAR).
中文摘要:
Corresponding author.