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AUTOMATIC BUILDING EXTRACTION FROM HIGH RESOLUTION AERIAL IMAGES USING ACTIVE CONTOUR MODEL

机译:使用主动轮廓模型的高分辨率空中图像自动建筑提取

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Various governmental organizations need accurate, correct and up to date information for optimization of resource and service management. In this issue, geospatial information is very important. Geospatial information as essential part of Geospatial Information System (GIS) has important role in performance of civil projects, urban service management. Using conventional surveying methods for producing geospatial data require a lot of cost and time. Thus, utilization of modern methods in production and updating of this kind of data is necessary. Photogrammetry and Remote Sensing are methods that produce geospatial data in extensive area with acceptable accuracy. In various countries of the world, many researches have been carried out and many algorithms have been introduced in order to decrease human operation in automatic feature extraction of satellite images. Building is one of the features that take the maximum of time and cost of feature extraction due to its abundance in urban area. As a result, on access to a model or algorithm of automatic or semi-automatic extraction of this feature not only minimizes human role in producing large scale maps but also has a dramatic effect on time and cost of the project. The aim of this paper is automatic extraction of boundary of this feature from high resolution aerial images in a way that its output is a vector map that needs the least editing in GIS. the main goal of this research is to introduce a method based on active contour model that the initialization stage of algorithm can be carried out automatically and active contour be ultimately optimized in building extraction. A new model is also suggested for automatic detection and extraction of boundary of buildings. New model of active contour can detect and extract boundary of building very accurately compared to classical model of active contour model and avoid detection of the boundary of features that are in neighbor of buildings such as streets and trees. The result of applying this model shows that the active contour model works better than other models of detection and extraction of building boundaries in urban area.
机译:各种政府组织需要准确,正确和最新的信息,以优化资源和服务管理。在这个问题中,地理空间信息非常重要。地理空间信息作为地理空间信息系统(GIS)的重要组成部分在民事项目的性能方面具有重要作用,城市服务管理。使用传统测量方法生产地理空间数据需要大量的成本和时间。因此,需要利用现代方法在生产和更新这种数据中。摄影测量和遥感是具有可接受的精度在广泛区域中产生地理空间数据的方法。在世界各国,已经进行了许多研究,并引入了许多算法,以减少卫星图像的自动特征提取中的人工操作。建筑是由于其在城市地区丰富而采取了最大时间和特征提取成本的功能之一。因此,在访问该特征的自动或半自动提取的模型或算法的访问中不仅可以最大限度地减少生产大规模地图的人类角色,而且对项目的时间和成本具有显着影响。本文的目的是从高分辨率空中图像自动提取该特征的边界,以至于其输出是需要在GIS中编辑最少的矢量地图。该研究的主要目标是引入基于主动轮廓模型的方法,即算法的初始化阶段可以自动执行,并且在建筑提取中最终优化有源轮廓。还建议了一种新型模型,用于自动检测和提取建筑边界。与主动轮廓模型的经典模型相比,热敏轮廓的新模型可以非常准确地检测和提取建筑物的边界,避免检测街道和树木等邻居的特征边界。应用该模型的结果表明,主动轮廓模型比城市地区建设边界的其他模型更好。

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