Urban building contour regularization method based on iteration minimum bounding rectangle

Abstract

The invention provides an urban building contour regularization method based on an iteration minimum bounding rectangle. On the basis that the urban modern building adjacent contour borders have an orthogonal property, after building information is filtered and extracted in a classified manner through the onboard LiDAR technology, the obtained building point cloud data is used as given data; regularization calculation is performed on contours of the most detected regular buildings on the basis of the minimum bounding rectangle. The urban building contour regularization method has the characteristics of less data loss, high adaptability, high accuracy and fewer operation amount, the building point cloud contours can be rapidly and accurately extracted, and the extracted data can be directly applied to the fields of urban planning, navigation, disaster evaluation and the like.

Description

technical field [0001] The invention relates to the technical field of surveying and mapping remote sensing, in particular to a method for regularizing urban building outlines based on iterative minimum enclosing rectangles. Background technique [0002] As an important carrier of human activities and human civilization, buildings are the focus of current research in multiple disciplines. Rapid and accurate acquisition of building information plays an important role in urban planning, navigation, disaster assessment and other fields. It is important for rapid and accurate acquisition of building information Airborne laser three-dimensional scanning (Light Detection And Ranging, LiDAR) technology is commonly used. This technology integrates laser ranging system, global positioning system and inertial navigation system. It can quickly obtain three-dimensional space information on the earth's surface, with high efficiency and high elevation accuracy. , low cost and other charac...

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Problems solved by technology

[0002] As an important carrier of human activities and human civilization, buildings are the focus of current research in multiple disciplines. Rapid and accurate acquisition of building information plays an important role in urban planning, navigation, disaster assessment and other fields. It is important for rapid and accurate acquisition of building information Airborne laser three-dimensional scanning (Light Detection And Ranging, LiDAR) technology is commonly used. This technology integrates laser ranging system, global positioning system and inertial navigation system. It can quickly obtain three-dimensional space information on the earth's surface, with high efficiency and high elevation accuracy. , low cost and other characteristics, widely used in 3D digital city, urban planning, disaster assessment and other fields, the use of airborne LiDAR technology for building extraction and reconstruction is the current research hotspot and difficulty in the field of surveying, mapping and remote sensing, airborne LiDAR technology for building Information extraction generally needs to go through the process of filtering and classification to obtain building point cloud data. At present, the methods for extracting building point cloud contours mainly include methods based on point cloud rasterization and methods based on Alpha Shape. On the basis of the rasterization of discrete point cloud data, the discrete points are converted into distance images according to the elevation, and the boundaries of the distance images are extracted using the relevant theoretical methods of image processing to obtain building outline information. This method needs to convert the discrete points into regular In the latter method, determining whether a point is a boundary point depends on the determination of the parameter α, and the calculation amount is large and the efficiency is low; and due to factors such as resolution, directly from the classified The outline of building point cloud data extraction is not accurate, and this result cannot be directly applied to urban planning, navigation, disaster assessment and other fields

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