Automatic building information extraction by modified volumetric shadow analysis from high resolution multispectral data

This paper presents a new approach to stable automatic extraction of building information from a high resolution satellite image set, panchromatic (PAN) image and multispectral (MS) images shot in a same date. The proposed approach is based on semi-automatic volumetric shadow analysis (SVSA). The proposed approach extracts a height and some information of a same building by SVSA from PAN image and MS images, respectively. The height and some information are used to calculate a maximum cost value by cost functions. A height with maximum cost value is determined as a true height. The true height is used to find a footprint position of the building. This paper also presents an automatic building extraction result by the proposed approach and roof extraction. For test, a Kompsat-2 image set was used. The results showed that the proposed approach can extract building information stably from a high resolution satellite image set.