Building height estimation using Google Earth Energy Build., 118 (2016), pp. 123-132, 10.1016/j.enbuild.2016.02.044 View PDFView articleView in ScopusGoogle Scholar Raju et al., 2014 P.L.N. Raju, et al. Shadow
Some of the points within footprints often reflect irrelevant objects other than roofs, leading to biases in height estimation, and few studies have developed systematic methods to filter them out. In this paper, a LiDAR point classification methodology is proposed that extracts only rooftop points ...
& Zhao, Y. Satellite scatterometer estimation of urban built-up volume: validation with airborne lidar data. Int. J. Appl. Earth Obs. Geoinform. 77, 100–107 (2019). Google Scholar Frolking, S., Mahtta, R., Milliman, T. & Seto, K. C. Three decades of global trends in urban ...
We created global building height samples by aggregating filtered high-quality GEDI footprints into a 150-m grid size. However, only using single relative height metrics may cause an overestimation of the residential areas consisting of low-rise single-family house buildings surrounded by tall trees26...
12,17. Using impervious surfaces as a spatial proxy of cities not only reflects a quite limited proportion of built-up spaces, but it also ignores the land-use intensity within urban areas18,19. Therefore, it is imperative to do spatially-explicit building height estimation. The consideration ...
Still, for the building class, where height data is indeed highly relevant, α=0.5 yields the best F1 score, also outperforming U-Net. For that reason, U-Net is not further utilized. The Munich Dataset has quite different radiometric properties and only half the resolution of Potsdam. For ...
Cost Estimation: Provide accurate cost estimates and manage budgets by integrating data from various project stages and elements. Facility Management: Support maintenance and operations with detailed and up-to-date building data for better facility management. Sustainability Analysis: Analyze energy use and...
[110]. The Resource layer manages generic non-geometric data like materials or units. The Core layer contains high-level objects like buildings and spaces along with relationships between components. Interoperability extends specific properties for domains like structural analysis or cost estimation. IFC...
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: a case study of 42 Chinese cities Remote Sens. Environ. (2021) S.Chenet al. Large-scale individual building extraction from open-source satellite imagery via super-resolution-based insta...
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities Remote Sens. Environ., 264 (2021), p. 112590, 10.1016/j.rse.2021.112590 View PDFView articleView in ScopusGoogle Scholar Cavallo, 2015 Cavallo, M...