Automatic detection and mapping of urban buildings in high resolution remote sensing images

2012 ◽  
Author(s):  
Zheng Zhang ◽  
Mei Zhou ◽  
Ling-li Tang ◽  
Chuan-rong Li
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Automatic Detection ◽  
Remote Sensing Images ◽  
Urban Buildings

Study on a New Extraction Method of Statistical Information of Urban Buildings Based on High Resolution Remote Sensing Images in Earthquake Damage Prediction

2012 ◽  
Vol 446-449 ◽  
pp. 3211-3217
Author(s):  
Yong Mei Zhai ◽  
Qi Zhao ◽  
Tie Zheng Li
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Practical Method ◽  
Statistical Information ◽  
Disaster Prevention ◽  
Remote Sensing Images ◽  
Earthquake Disaster ◽  
Damage Prediction ◽  
Urban Buildings ◽  
Building Information

How to get the enormous statistical information of target buildings has long been a very significant subject in urban earthquake disaster prevention planning. However, the traditional methods to extract the statistical information of urban buildings are complex and time consuming, proved to be difficult in application. This paper presents a new practical method to extract statistical information of urban buildings through rotating high resolution remote sensing images and scanning the pixels, and then compares the data from high resolution remote sensing images with measured data to verify the precision of the method. With this method, some buildings in a county in Henan province are analyzed as an illustrative example, the encouraging results of which demonstrate that this simple and practical method is not only theoretically correct but also precise enough to satisfying the demands of fast extraction of building information on in urban earthquake disaster prevention planning.

Sign in / Sign up

Export Citation Format

Share Document