1) cloud background
云层背景
1.
According to the theoretical analysis and experimental resultsal,the new algorithm can effectively detect the point target in different cloud backgrounds.
分析了云层背景下目标和云层在探测器上的时间响应特性,建立了四种类型的像素点时域模型。
2.
For the infrared dim small target detection in complex cloud background of IRST,a robust algorithm of low false alarm is proposed.
针对红外搜索跟踪系统对复杂云层背景条件下红外弱小目标检测问题,提出了一种低虚警率的弱小目标稳健检测算法。
3.
Detection algorithm of weak infrared point targets under cloud background
仿真试验表明本文算法能从复杂云层背景中快速有效地检测出目标。
2) sun-illuminated cloud background
日照云层背景
3) cloud cluster image
云层背景图像
1.
A new method is proposed to detect infrared small and dim targets in cloud cluster image based on fuzzy classification.
实验结果表明,该方法能够对红外弱小目标图像中不同类型的区域进行准确的分类,从而较好的实现了对低信杂比的复杂云层背景图像中的弱小目标检测。
4) Infrared cloud background
红外云背景
5) cloud clutter background
云杂波背景
1.
First the images of cloud clutter background with small targets are inhabited with multi-structural opening operation and then the global thresholding method is applied to convert the images into binary ones for the identification of small target.
用多结构形态开运算对含有小目标的云杂波背景图像进行背景抑制,然后利用全局阈值分割方法将背景抑制后的图像转化为二值图像,提取图像中的小目标。
补充资料：云层
1.成层的云。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条