Ice flood detection based on pulse coupled neural network

Xian-hong Liu; Zhi-bin Chen; Wei-ming Wang

doi:10.1117/12.2035006

11 September 2013 Ice flood detection based on pulse coupled neural network

Xian-hong Liu, Zhi-bin Chen, Wei-ming Wang

Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 89075E (2013) https://doi.org/10.1117/12.2035006
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

When ice run in the river course blocks the waterway severely, swelling will be speeded and of large scope, which will usually cause disasters. To judge the trend of ice flood and its disaster in the future, some data of ice flood, such as area, velocity and density, must be obtained timely. The velocity of ice flood can be got by analyzing the displacement and time interval of a same object in each image. The density of ice flood can be calculated from the ice area in a certain region. A precise area statistic of ice is the most important and difficult thing. In this paper, an edge extraction approach based on pulse coupled neural network is proposed to locate the edge of ice. Then, the area of ice can be obtained by the relativity between the ice and the region. The experimental results indicate that the method based on pulse coupled neural network is feasible. The extracted edge of the ice is distinct and continuous and the influence of noise on the infrared image is effectively eliminated.

Citation Download Citation

Xian-hong Liu, Zhi-bin Chen, and Wei-ming Wang "Ice flood detection based on pulse coupled neural network", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89075E (11 September 2013); https://doi.org/10.1117/12.2035006

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