April 2025
Intermediate to advanced
690 pages
19h 37m
Portuguese (Portugal, Brazil)
Content preview from Ciência de dados 3D com Python
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Capítulo 11. Reconstrução 3D de edifícios a partir de dados LiDAR
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Como especialista em em aplicações de ponta, compreende a importância de modelos urbanos 3D precisos para várias tarefas, tais como planeamento urbano, gestão de catástrofes e desenvolvimento de infra-estruturas. Precisas de métodos fiáveis para extrair informações valiosas de conjuntos de dados 3D complexos, especialmente de nuvens de pontos LiDAR aéreas. As metodologias actuais para gerar estes modelos baseiam-se frequentemente no processamento manual ou em técnicas semi-automatizadas que consomem muito tempo e são propensas a erros. Precisamos de uma solução robusta e automatizada para lidar com grandes conjuntos de dados e fornecer modelos 3D precisos.
Neste capítulo, vamos seguir um exemplo fictício em que és um investidor imobiliário a avaliar o potencial de um bairro. Queres determinar a viabilidade de ampliar horizontal e verticalmente as casas existentes. Para tomares decisões informadas, precisas de informações precisas sobre a área de implantação e a altura de cada edifício. E se pudéssemos selecionar dados LiDAR de portais de dados abertos existentes e extrair um bairro da área que acreditamos ter potencial? A partir daí, poderíamos fazer uma abstração da nuvem de pontos LiDAR para detetar as casas, extrair as suas pegadas e, em seguida, criar um modelo detalhado para cada casa para ...
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