Automatic Construction of Building Footprints From Airborne LIDAR Data
نویسندگان
چکیده
منابع مشابه
A Hybrid Approach to Extraction and Refinement of Building Footprints from Airborne Lidar Data
This work presents a combined bottom-up and top-down approach to extraction and refinement of building footprints from airborne LIDAR data. Building footprints are interesting for many applications in urban planning. The cadastral maps, however, may be limited for certain areas or not be updated frequently. Airborne laser scanning data is therefore considered by many people in the last decade a...
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Extracting individual buildings and determining their footprints have been extensively studied towards 3D Building reconstruction. Though most previous works show promising results, it is yet a nontrivial task, especially in dense residential areas. This paper discusses a methodology for resolving this issue. The proposed approach starts with separating ground and nonground LiDAR points. In the...
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The advent of Light Detection and Ranging (LIDAR) technique provides a promising resource for three-dimensional building detection. Most current methods commonly fuse LIDAR data with other multi-spectral images to help remove vegetation based on NDVI or other vegetation indices; however, the fusing process may cause errors that are introduced by resolution differences, geo-referencing, time dif...
متن کاملBuilding Detection and Structure Line Extraction from Airborne Lidar Data
The development of LIDAR (Light Detection and Ranging) system makes the acquisition of 3D surface information more convenient and immediate than other geomatics technologies. However, the 3D coordinates of the surface features, such as the corners, edges and planes of buildings, cannot be obtained directly from the LIDAR data because of its blind characteristics. How to detect the feature locat...
متن کاملFeatures and Ground Automatic Extraction from Airborne Lidar Data
The aim of the research has been the developing and implementing an algorithm for automated extraction of features from LIDAR scenes with varying terrain and coverage types. This applies the moment of third order (Skweness) and fourth order (Kurtosis). While the first has been applied in order to produce an initial filtering and data classification, the second, through the introduction of the w...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2006
ISSN: 0196-2892
DOI: 10.1109/tgrs.2006.874137