Building detection from multispectral imagery and lidar data employing a threshold-free evaluation system

Abstract

This paper presents an automatic system for the detection of buildings from LIDAR data and multispectral imagery, which employs a threshold-free evaluation system that does not involve any thresholds based on human choice. Two binary masks are obtained from the LIDAR data: a 'primary building mask' and a 'secondary building mask'. Line segments are extracted from around the primary building mask, the segments around trees being removed using the normalized difference vegetation index derived from orthorectified multispectral images. Initial building positions are obtained based on the remaining line segments. The complete buildings are detected from their initial positions using the two mask..