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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Three-Dimensional Semiautomatic Road Extraction From a High-Resolution Aerial Image by Dynamic-Programming Optimization in the Object Space
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Three-Dimensional Semiautomatic Road Extraction From a High-Resolution Aerial Image by Dynamic-Programming Optimization in the Object Space

机译：目标空间中动态程序优化从高分辨率航拍图像中提取三维半自动道路

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摘要

This letter proposes a method for 3-D semiautomatic road extraction from a single image by dynamic programming (DP), which requires a form of relief representation such as digital terrain model. Unlike traditional DP methodologies, this method relies on the DP algorithm to carry out the optimization process in the object space rather than in the image space. Road features are traced in the object space, implying the need for a rigorous mathematical model between image- and object-space points. The operator must measure a few seed points in the image space to coarsely describe the roads, which are then transformed into object space to initialize the DP optimization process. The results showed that the method usually works properly, even in the presence of anomalies along roads.
机译：这封信提出了一种通过动态编程（DP）从单个图像进行3-D半自动道路提取的方法，该方法需要一种地形表达形式，例如数字地形模型。与传统的DP方法不同，此方法依赖于DP算法在对象空间而不是图像空间中执行优化过程。在对象空间中跟踪道路特征，这意味着需要在图像和对象空间点之间建立严格的数学模型。操作员必须在图像空间中测量一些种子点以粗略地描述道路，然后将其转换为对象空间以初始化DP优化过程。结果表明，即使在道路上存在异常情况下，该方法也通常可以正常工作。

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