红外与毫米波学报, 2017, 36 (6): 713, 网络出版: 2018-01-04
基于目标特性的欠采样等效模糊模型
Target-characteristics-based equivalent blur model for under-sampled imaging systems
光电成像系统 欠采样 混淆信号 目标有效频谱 等效模糊模型 electro-optical imaging systems under-sampling aliasing signal the effective target spectrum the equivalent blur model
摘要
结合人眼视觉特性, 提出了一种基于目标特性的欠采样等效模糊模型, 将系统对欠采样的容忍度和目标的有效频谱理念引入到欠采样的量化模型中, 实现了对采样系统性能的有效评估, 从根本上解决了传统模型在预测欠采样对目标识别性能影响方面的诸多不足.
Abstract
Considering the human visual characteristics, a target-characteristics-based equivalent blur model for under-sampled imaging systems is proposed. The introduction into the model of the tolerance of the under-sampling system to the spurious response and the effective frequency spectrum makes the newly proposed model more accurate in the prediction of the target discrimination performance of an under-sampled imaging system.
杨翠, 尹姝婷, 张延涛, 吴鑫. 基于目标特性的欠采样等效模糊模型[J]. 红外与毫米波学报, 2017, 36(6): 713. YANG Cui, YIN Shu-Ting, ZHANG Yan-Tao, WU Xin. Target-characteristics-based equivalent blur model for under-sampled imaging systems[J]. Journal of Infrared and Millimeter Waves, 2017, 36(6): 713.