A New Method for Ship Detection in SAR Imagery based on Combinatorial PNN model

摘要：

The Probabilistic Neural Network(PNN)model plays a very important role for ship detection in synthetic aperture radar(SAR)imagery ,however there are still some detection parameter need to improve for the requirement of detection accuracy and speed.This paper presents a new method based on Combinatorial PNN model for ship detection in SAR imagery.The method includes 8-bit and 16-bit image processing models,and an improved Probabilistic Neural Network model is proposed,a new constant false alarm rate(CFAR)calculation algorithms is adopted.Compared with Convention PNN-based ship detection method,the new method based on Combinatorial PNN model performs well.

作者: Zhenhong Du Renyi Liu Nan Liu Peng Chen

作者单位: Department of Earth Science,Zhejiang Provincial Laboratory of GIS,Zhejiang University,China Lab.of Ocean Dynamic Processes and Satellite Oceanography,Second Institute of Oceanography,SOA,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）