Paper Info
Title
Detecting Damaged Buildings Caused By Earthquake Using Local Gradient Orientation Entropy Statistics Method
Abstract
This paper presents a new method to detect damaged buildings caused by earthquake from high spatial resolution remote sensing image. We found that the probability of multiple gradient orientations is greater in a local area within a damaged building than that in a local area within an intact building. Therefore, a new feature (Local Gradient Orientation Entropy, LGOE) was put forward to determine whether a building was damaged. First, gradient information was obtained by Prewitt gradient operator. Second, the gradient orientation entropy of one pixel was calculated in a local 3x3 window. Last, average LGOE value within a building boundary was counted. In general, damaged buildings have higher LGOE values because of their irregular texture. Therefore, an optimum LGOE threshold value (LGOET) was set to detect damaged buildings. The experiment results of Yushu earthquake using a Quickbird image demonstrated that our method was effective. Of the total 101 buildings, 87 were detected correctly, the overall accuracy was 86.14%, and the overall kappa coefficient is 72.25%.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Damaged Building, Earthquake, Remote Sensing, Gradient Orientation
Field
DocType
ISSN
Computer science,Remote sensing,Threshold limit value,Cohen's kappa,Pixel,Operator (computer programming),Optical imaging,Prewitt operator,Entropy (information theory),Image resolution
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Xin Ye1258.36
Qi-ming Qin215849.12
Jun Wang3135.63
Jianhua Wang432.77
Xiucheng Yang5327.04
Xuebin Qin6192.23