عنوان مقاله [English]
The height of the building is one of the important factors in organizing the urban landscape. This value is another variable affecting urban density, which is usually considered in regular rules and regulations on projects. In this regard, the use of lidar technology as a new tool in the field of aerial imaging, to calculate the height and building floors, is one of the topics discussed in the field of urban studies. What is considered in this research is to present a new method in urban planning based on extracting the height of buildings and the number of floors using Lidar super points, which includes two general steps. In the first step, the lidar data were filtered and separated from other lidar points related to land and vegetation using the elevation threshold method, and to produce a three dimensional model of the extraction and extraction of the extraction. The dimensions of each circle became two dimensional. Discovering the boundaries of buildings was made possible by creating points in each corner of the extracted building features. In the second stage, after extracting the first building boundaries and determining the points related to the buildings, the digital surface model information was assigned to the extracted building features and according to the assigned heights of the building floors by the nearest height method. The passage to the building was calculated along with the average height of the building above sea level (-26), which is referred to as the average height of the area. To complete the height of the buildings, the difference between the average height of the area and the height of the nearest passage to the building entrance was used. To find the number of floors, taking into account the height of the roof of the building, which according to the prevailing standards includes a range between 2.80 meters to 4 meters, was calculated and the building floors in four sections: one floor, two floors, three floors and four and It became more clear. The data source for the proposed system consisted of air borne Lidar data with rare vision and ultra Cam aerial Images. Were extracted. All the functions used enabled the system to successfully extract the structures from the lidar data. The obtained data and their matching with the samples taken in the field survey, show the accuracy of the boundary and the extracted classes are relatively good and the proposed system in terms of completeness, accuracy, and consistency of the data. It had a good performance. Finally, considering the research of Beilingwei U and et al., Under the title of automatic extraction of density information of urban buildings using lidar data and the results obtained in the present study, it was determined that aerial lidar technology has an extraordinary ability. In collecting very right and dense samples of altitude measurements of the city level has been provided and a new level of detail of right building height information can be automatically and efficiently extracted from the aerial data.