Title :
Earthquake building damage detection with object-oriented change detection
Author :
Lixia Gong ; Qiang Li ; Jingfa Zhang
Author_Institution :
Inst. of Crustal Dynamics, China Earthquake Adm., Beijing, China
Abstract :
Remote sensing image change detection is an effective method to estimate earthquake damage. With the improvement of spaceborne image resolution, single pixel is gradually replaced by object as the basic unit for change detection. The principle of object-oriented change detection method is described in this paper. And then data processing flow is stated. Taking high-resolution remote sensing images pre- and post- the Yushu earthquake as an example, the accuracy of this method to extract building damage is shown. This method is compared with direct change detection method based on pixel, and based on principal component analysis. The results show object-oriented change detection method has the highest accuracy in building damage estimation, which is 83%, while the accuracy of the latter two methods are 72% and 61%.
Keywords :
buildings (structures); earthquakes; feature extraction; geophysical image processing; geophysical techniques; image resolution; object detection; principal component analysis; remote sensing; basic change detection unit; building damage estimation; building damage estimation highest accuracy; building damage extraction; data processing flow; direct change detection method; earthquake building damage detection; earthquake damage estimation; effective method accuracy; high-resolution remote sensing image post-Yushu earthquake; high-resolution remote sensing image pre-Yushu earthquake; object-oriented change detection; object-oriented change detection method; object-oriented change detection method principle; principal component analysis; remote sensing image change detection; single pixel; spaceborne image resolution improvement; Accuracy; Buildings; Data mining; Earthquakes; Image resolution; Image segmentation; Remote sensing; Change detection; Earthquake building damage; Object-oriented; Remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723627