文章基本信息

标题：DETECÇÃO AUTOMÁTICA DE CONTORNOS DE EDIFICAÇÕES UTILIZANDO IMAGEM GERADA POR CÂMARA DIGITAL DE PEQUENO FORMATO E DADOS LIDAR
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作者：Alvaro Muriel Lima Machado ; Edson A. Mitishita
期刊名称：Boletim de Ciências Geodésicas
印刷版ISSN：1982-2170
出版年度：2006
卷号：12
期号：2
语种：Portuguese
出版社：Universidade Federal do Paraná-UFPR
摘要：This work presents a methodology to automatically extract 2D building contours from the integration between a small format digital camera image and laser scanning raw data. The external image orientation and internal camera orientation parameters are assumed to be known. As a common space to integrate information from both sources it is used the image space without distortion. To remove systematic errors in the original image, the Newton-Raphson iterative method for simultaneous equation is used in a resampling process to this space. At this step, all the pixels have color and altitude associated information. The RGB color values are transformed to (almost isotropic) CIELUV color space and the image is segmented according to these values, by mean shift algorithm. The forward steps filter the gotten segments, using colors (to remove green vegetation), medium altitude of a region comparing it with the altitude of its neighbours (to preserve high regions), and polygonal simplification degree (Douglas-Peucker), attempting to detect linear features. Several experiments realized over a Centro Politécnico - UFPR area, in Curitiba/PR, are discussed, with good results for isolated buildings.
其他摘要：This work presents a methodology to automatically extract 2D building contours from the integration between a small format digital camera image and laser scanning raw data. The external image orientation and internal camera orientation parameters are assumed to be known. As a common space to integrate information from both sources it is used the image space without distortion. To remove systematic errors in the original image, the Newton-Raphson iterative method for simultaneous equation is used in a resampling process to this space. At this step, allthe pixels have color and altitude associated information. The RGB color values are transformed to (almost isotropic) CIELUV color space and the image is segmented according to these values, by mean shift algorithm. The forward steps filter the gotten segments, using colors (to remove green vegetation), medium altitude of a region comparing it with the altitude of its neighbours (to preserve high regions), and polygonal simplification degree (Douglas-Peucker), attempting to detect linear features. Several experiments realized over a Centro Politécnico - UFPR area, inCuritiba/PR, are discussed, with good results for isolated buildings.
关键词：Monorestituição;erros sistemáticos;processamento digital de imagens;Monoplotting;systematic errors;digital image processing