摘要
随着遥感技术与无人机技术的结合,无人机遥感已广泛应用于海监测绘领域。通过大量实践发现,受到天气雨雪、大雾、霾的影响,无人机获取舰船遥感图像时,目标识别清晰与准确度明显降低。为此,应用无人机海监测绘技术进行下舰船遥感图像目标检测。通过对遥感图像目标的明暗分离计算、海陆场景分离计算与目标神经特征识别计算,实现对舰船遥感目标的快速检测。仿真场景对提出的设计进行对比测试,结果证明了提出设计的可行性与实用性。
With the combination of remote sensing technology and UAV technology,UAV remote sensing has been widely used in the field of maritime surveillance and surveying.Through a large number of practices,it is found that under the influence of weather,rain and snow,heavy fog and haze,the clarity and accuracy of target recognition are obviously reduced when UAV acquires ship remote sensing images.Therefore,the target detection of ship remote sensing image based on UAV maritime surveillance mapping technology is proposed.Through the calculation of light and dark separation of remote sensing image target,the calculation of sea and land scene separation and the calculation of target neural feature recognition,the rapid detection of ship remote sensing target is realized.The proposed design is compared and tested by simulation scene,and the feasibility of the proposed design is proved by the result data.and practicability.
作者
安洁玉
丁斌芬
AN Jie-yu;DING Bin-fen(Nanchang Vocational College,Nanchang 330500,China)
出处
《舰船科学技术》
北大核心
2019年第24期187-189,共3页
Ship Science and Technology
关键词
无人机
海监测绘
舰船遥感图像
目标检测
UAV
marine supervision mapping
ship remote sensing image
target detection
