本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
In this paper, we discussed an algorithm for decision trajectory during detecting slowly moving point target in low SNR.
低信噪比条件下点目标的检测性能在很大程度上依赖于对红外背景杂波的抑制情况。
The effective detection for point target in low SNR IR images is dependent greatly on the suppression of background clutter.
本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
This paper discusses a technique for detecting slowly moving point targets in low SNR images.
在低信噪比条件下，要从图像中检测出运动的点目标存在着不少困难。
It is not easy to detect moving point targets in low signal-to-noise ratio (SNR) images.
大量的低空背景景物以及点目标的特点——远距离、低信噪比、强杂波等，增加了目标检测和跟踪的难度。
A lot of low altitude objects and the characteristics of point target make the detection and tracking even harder.
大量的低空背景景物以及点目标的特点——远距离、低信噪比、强杂波等，增加了目标检测和跟踪的难度。
A lot of low altitude objects and the characteristics of point target make the detection and tracking even harder.
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