摘要
针对传统方法识别夜间海上船只的不足,提出利用珞珈一号新型夜间灯光数据进行夜间海上船舶的提取,通过中值滤波方法以及双参数恒虚警率方法对影像进行去噪处理,之后将检测的有效船舶灯光进行精度验证。结果表明,中值滤波法能够有效削弱影像背景噪声,并且对有效灯光影响较小,结合双参数恒虚警率算法提取船舶灯光具有较好的效果。表明利用珞珈一号夜间灯光数据提取夜间海上船舶具有合理性和可行性,为海上船舶的识别提供了新的思路,对于海上船舶航行的安全监测具有一定的参考价值。
In view of the shortcomings of traditional marine ship identification methods,this paper proposes to use the new nighttime light data of LJ1-01 for the extraction of marine vessels.Firstly,the image is denoised by the median filtering method and the two-parameter constant false-alarm rate(CFAR)method,and then the detected effective ship lights is verified with accuracy.The results show that the median filtering method can effectively attenuate the background noise of the image,and has less influence on the effective light.Combining the two-parameter CFAR algorithm to extract the ship light has a good effect.It shows that the use of the LJ1-01 nighttime light data to extract the nighttime marine vessel is reasonable and feasible,and it provides a new idea for the identification of the nighttime sea ship.It has certain reference value for the safety monitoring of the nighttime sea ship navigation.
作者
钟亮
刘小生
ZHONG Liang;LIU Xiaosheng(School of Architectural Surveying and Mapping Engineering,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China)
出处
《遥感信息》
CSCD
北大核心
2019年第5期126-131,共6页
Remote Sensing Information
关键词
海上船舶检测
珞珈一号
夜间灯光
双参数恒虚警率
中值滤波
marine vessel detection
LJ1-01
nighttime light
two-parameter constant false-alarm rate
median filtering
