Building outline detection based on height and intensity information from airborne LIDAR system

Chengyi Wang; Zhongming Zhao

doi:10.1117/12.750612

14 November 2007 Building outline detection based on height and intensity information from airborne LIDAR system

Chengyi Wang, Zhongming Zhao

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67892E (2007) https://doi.org/10.1117/12.750612
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The paper presents a new automatic method to detect the outline of buildings based on height and Intensity from Airborne LiDAR system. The main idea of the method is to detect outline of buildings using SVM (Support vector machine) training knowledge obtained from the artificial interpretation of the training data. Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Experiments using real data are presented and show the feasibility of the suggested approach.

Citation Download Citation

Chengyi Wang and Zhongming Zhao "Building outline detection based on height and intensity information from airborne LIDAR system", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892E (14 November 2007); https://doi.org/10.1117/12.750612

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