1) the transportation image
交通图
1.
This paper has studied the technique about the road extraction in the transportation image and the remote sensing image.
本文主要研究交通图与遥感图中的道路提取算法,其目标是快速、准确地从这两类图像中识别并提取道路信息。
2) traffic image
交通图像
1.
According to characteristic of real-time traffic images,present a dynamic background reconstruction algorithm based on RGB color vectors clustering.
针对实时交通图像的特点,提出一种基于RGB彩色向量聚类的动态背景生成方法。
2.
The edges of vehicles or roads are important characteristics of grayscale video traffic images.
车辆或道路的边缘是灰度视频交通图像的重要特征,文章采用细胞神经网络技术,合理地选择了网络参数,并编制了基于Matlab5。
3.
To study the traffic image collection and processing plays an important role in Intelligent Transportation System.
研究交通图像的采集与处理对智能交通系统(ITS)的发展具有重要的作用。
3) traffic volume diagram
交通量图
1.
In order to precisely monitor the dynamic travel time in urban road network with signal control,the fluctuation rule of traffic volume affected by signal control strategy was analyzed,and a travel time estimation method based on traffic volume diagram offset was proposed.
为了精确检测城市信号控制路网中的路段动态行程时间,分析了路段流量受交通信号控制策略影响的波动规律,提出了基于交通量图偏移的路段行程时间计算方法。
5) Transportation mapping
影像交通图
6) traffic density map
交通密度图
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
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