Knowledge-Based Building Detection Based on Laser Scanner Data and Topographic Map Information

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Laser scanner data is being increasingly used to obtain topographical and object height information for mapping and GIS tasks. Valuable information can be derived of the terrain and objects of a region. Different methods have been published to segment laser scanner data in order to extract information. This paper aims to discuss the extraction of buildings to transfer 2D building data into 3D building data of a higher accuracy. For this study, only laser scanner data and scanned topographical maps are to be used. The study can be divided into two parts: segmentation and detection.

Document Type: 
Scientific Paper

Object-Based Building Detection from LiDAR Data and High Resolution Satellite Imagery

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This paper presents a scheme for building detection from LIDAR data and high resolution satellite imagery. The proposed scheme comprises two major parts: (1) segmentation, and (2) classification. Spatial registration of LIDAR data and high resolution satellite images are performed as data pre-processing. It is done in such a way that two data sets are unified in the object coordinate system. Then, a region-based segmentation and object-based classification are integrated for building detection.

Document Type: 
Scientific Paper