Object-Based Integration of Photogrammetric and LiDAR Data for Automated Generation of Complex Polyhedral Building Models
نویسندگان
چکیده
This research is concerned with a methodology for automated generation of polyhedral building models for complex structures, whose rooftops are bounded by straight lines. The process starts by utilizing LiDAR data for building hypothesis generation and derivation of individual planar patches constituting building rooftops. Initial boundaries of these patches are then refined through the integration of LiDAR and photogrammetric data and hierarchical processing of the planar patches. Building models for complex structures are finally produced using the refined boundaries. The performance of the developed methodology is evaluated through qualitative and quantitative analysis of the generated building models from real data.
منابع مشابه
Complex Digital Building Model Generation through the Integration of Photogrammetric and Lidar Data
This paper is concerned with the integration of photogrammetric and LiDAR data for accurate generation of complex Digital Building Models (DBM). Some research has been conducted utilizing either high overlap/sidelap photogrammetric data or high point density LiDAR data in order to specifically cater to DBM generation. In contrast, the proposed methodology is designed to utilize imagery and LiDA...
متن کاملساختار دهی آنی دادههای مکانی ورودی GIS با تأکید بر عارضه راه
An important issue in implementation of a GIS system is preparation of data to be entered in GIS. To produce spatial data for GIS using photogrammetric techniques, conventional method is to apply photogrammetric and GIS systems individually (off-line procedure). This approach is costly, time consuming and somehow unreliable due to the fact that 3D photogrammetric model is not available at the ...
متن کاملObject-based Integration of Photogrammetric and LiDAR Data for Accurate Reconstruction and Visualization of Building Models
متن کامل
Urban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data
Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...
متن کاملUsing a Binary Space Partitioning Tree for Reconstructing Polyhedral Building Models from Airborne Lidar Data
During the past several years, point density covering topographic objects with airborne lidar (Light Detection And Ranging) technology has been greatly improved. This achievement provides an improved ability for reconstructing more complicated building roof structures; more specifically, those comprising various model primitives horizontally and/or vertically. However, the technology for automa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 9 شماره
صفحات -
تاریخ انتشار 2009