Affiliation:
1. Naval University of Engineering
Abstract
An automatic detection algorithm of bridges above water in aerial images is proposed. Firstly, aerial image is binarized based on gradient mean square variance, and binary image is denoised based on pixel density. Then connective areas are labeled in the binary image based on pixels to extract water area. Finally, bridge area is detected based on gray information. Experiments show this algorithm is effective in automatic detection of bridges above water in aerial images.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. U. Soergel, E. Cadario, A. Thiele: Feature Extraction and Visualization of Bridges over Water from High-resolution In SAR Data and One Orthophoto. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2008, p.147~153.
2. K. Schulz, E. Cadario, H. Gross: Detection and Feature Extraction of Bridges in Airborne and Spaceborne SAR Image Data. Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, Florence, Italy. Vol. 6749(2007).
3. Xuan Nie, Rongchun Zhao, Yanning Zhang: A New Method for Detecting Bridges Automaticall. Vol. 21(2003), pp.599-602. (In Chinese).
4. Linbo Tang, Baojun Zhao: A Real-Time Recognition Algorithm of Bridges Above Water in Aerial Images. Vol. 35(2007), pp.511-514. (In Chinese).
5. YinWen Dong, Lei Guo, Jun Yao: A Novel Heuristic Search Algorithm for Edge Extraction in Noise Image. Vol. 19(2006), pp.14-19. (In Chinese).