BROWSE
Detail
Conference Paper
Automatic Building Height Extraction by Monoscopic Shadow Analysis
Cited - time in 
Share 
Share
- Authors
- Tsend Ayush Javzandulam, Tae Jung Kim, Kyung Ok Kim
- Issue Date
- 2006-10
- Citation
- Asian Conference on Remote Sensing (ACRS) 2006, pp.1126-1129
- Language
- English
- Type
- Conference Paper
- Abstract
- An attempt has been made in this study to develop an automatic algorithm to determine building height from monoscopic high-resolution satellite data. The algorithm is based on analysis of projected shadow and actual shadow of the building. The algorithm estimates building height automatically by projecting building shadow onto the image for given building heights, counting overlapping pixels between the projected shadow and actual shadow, and fining the height that maximizes the number of overlapping pixels. A panchromatic IKO-NOS image over Deajeon area is used to test proposed algorithm. The result is compared with building height by stereo analysis and the accuracy of the building height extraction is examined using standard error of estimate. It was found that standard error (SE) is 1.66 m.
- KSP Keywords
- Building height, Building shadow, High-resolution, Shadow analysis, automatic algorithm, satellite data, standard error