现有道路提取方法离人类的生产生活需求还比较远。
These achievements are far away from human's generation and life.
最后连接由边缘线构成的道路段，得出道路提取结果。
Based on these smoothed edge lines road segments are formed. The final output is generated by connecting road segments.
SPOT图像道路提取实验表明，新方法可以取得很好的效果。
Experiment indicates that new method may gain better results in SPOT image.
通过梯度矢量流模型迭代求解，解决道路凹陷位置逼近问题，最终实现道路提取。
At the same time, how to get the approximate road hollow position is solved to realize the road contour extraction by gradient vector flow model with iterative solution.
本文针对高分辨率SAR影像进行城区河流、道路提取的算法研究，提出将纹理、面状和空间区域三种特征结合的方法。
This article mainly researches on the algorithm of extracting rivers and roads in high resolution SAR images, using the method of combining texture, area, and space structure features.
论文在分析现有的各种提取方法的基础上，结合城市道路在高分辨率遥感影像上的特点，提出一种半自动的道路提取法。
In this paper, according the characteristics of urban road in high-resolution remote images, a new semiautomatic extraction road approach is proposed based on the analysis of various existent ones.
道路运输行业也渴望增加使用物燃料，欧盟去年的一项指令要求，到2020年要从植物中提取10%的道路运输燃料。
The road transport industry is also keen to increase theuse of biofuels, and an EU directive last year requires 10% of all roadtransport fuel to come from plants by 2020.
事实上，大约一年前，我看过奥利弗从这些草莓中提取DNA，就是这个实验引领我走上这诡异的道路，我现在就要将给你们听。
In fact, I saw Oliver do one of these strawberry DNA extractions about a year ago, and this is what led me onto this bizarre path that I'm going to talk to you right now.
实验表明：该方法应用到全极化sar影像中的道路的提取中效果较好。
The test indicates that the method is better to been applied in extracting roads in full-polarimetric SAR image.
由于高分辨率SAR图像中，目标背景复杂，同时由于受相干斑噪声的影响，因此很难直接从原始图像数据中提取道路特征。
Due to the complicated background of objectives and the speckle noise in the high-resolution SAR images, it is almost impossible to extract roads directly from original remote sensing images.
高分辨率SAR图象中目标背景复杂，同时由于受相干斑噪声的影响，很难直接从原始图象数据中提取道路特征。
As the background of objectives in high-resolution SAR images is complicated and also affected by speckle noise, it is almost impossible to extract roads directly from original remote sensing images.
本文针对高分辨率遥感图像提出了一种基于拓扑特性的道路网自动提取算法。
This paper presents an automatic extraction algorithm of extracting road network from high-resolution aerial and remote sensing images.
提出了一种基于标记点过程模型的交互式道路网提取算法。
An interactive algorithm based on marked point process for extracting road network is proposed.
提出了一种新的从航空影像上提取道路中心线的半自动方法。
A new approach for road centerline semi-automatic extraction from aerial images is proposed.
提出一种顾及精度、操作性的从高精度卫星影像中半自动提取道路的方法。
The paper introduces a method of semiautomatic extraction of road from high-resolution satellite images that have good accuracy and interactive performance.
道路等线性地物的自动提取一直是高分辨率遥感影像研究所关注的内容。
Automatic extraction of linear objects such as roads has been the hotspots in the research of high-resolution remote sensing images.
首先把图像序列中相对静止的部分提取出来作为背景，利用差分图像对道路上的运动物体进行分割，并在此基础上实现对每条车道上的车辆的跟踪。
Firstly the relatively static proportion of the video was extracted and the moving objects were segmented using differencing image algorithm. Then vehicles were tracked in divided road lanes.
结合管网的实际需要提取数据，制作供二维展示的道路图层，完成地址匹配及其渲染技术。
Pipe network with the actual needs of extracting data to produce two-dimensional display of the road layer to complete the address matching and its rendering.
文中研究对彩色地图图像中的道路和区域识别提取的问题。
This paper is about the research of recognizing the roads and areas in map image by computer.
遥感图像道路网提取是图像识别中的重要问题。
The extraction of road networks from remotely sensed image is an important part in many scene recognition applications.
道路目标的提取是遥感领域的重要研究内容。
Road extraction is one of important research contents in remote sensing field.
摘要：提出了一种融合像元-多尺度物件级特征的高解析度遥感影像道路中心线提取方法。
Abstract: a novel approach for road centerline extraction from high spatial resolution satellite imagery is proposed by fusing both pixel-based and object-based features.
从遥感影像中提取道路已有多年研究，但仍然存在很多问题有待解决。
People extract roads from remotely sensing image many years, but still some problems cannot be solved.
从遥感影像上提取道路信息是当前遥感技术应用研究的主要方向之一。
The method of extraction the information of the road from remote sensing image is one of the most primary study aspects of the application of Remote Sensing in this days.
遥感影像中的信息提取一直是图像处理的研究热点之一，阐述了在道路特征提取方面的一些经验。
Information extraction is one of focal points in remote sensing image processing. This paper studies one approach of road feature extraction.
遥感影像中的信息提取一直是图像处理的研究热点之一，阐述了在道路特征提取方面的一些经验。
Information extraction is one of focal points in remote sensing image processing. This paper studies one approach of road feature extraction.
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