Abstract:

Aiming at the low efficiency and subjective factors of traditional safety firing zone drawing method, this paper established an automatic identification and drawing of safety firing zone map system by using image recognition technology and safety shot drawing specification based on high-resolution satellite imagery. This system defined areas in satellite imagery as safety and non-safety areas. Since the satellite image in the non-safety area had strong backscattering characteristics and high gray value compared with the background area, the image recognition operations such as defogging, graying, image segmentation and denoising were used to recognize the safety and non-safety area for realizing the initial identification of safety areas. On this basis, according to specifications for drawing safety firing area map combined with artificial correction, the automatic drawing of anti-aircraft gun safety firing zone at the weather modification sites was realized. The application results show that the safety firing zone drawing assistant system combined with image recognition technology and Access database management technology, could effectively utilize high-resolution satellite imagery. The recognition process was fast and result was accurate. It also had good effects on different types of work sites and was beneficial to information management of the shot graph, and met the safety shot boundary graph standard and could be applied to artificial weather-affecting operations.

Key words: Key words: safe firing zone, recognition, defogging, segmentation, denoising

摘要： 针对传统方法绘制安全射界效率较低且易受主观因素影响，本文通过图像识别技术，依据安全射界绘制规范，搭建了基于高分辨率卫星影像的安全射界图辅助识别与绘制系统。系统将卫星影像中的区域定义为安全区和非安全区。由于非安全区的卫星影像具有后向散射特性强、灰度值较背景区高等特点，利用图像识别技术，通过去雾、灰度化、图像分割和去噪等操作，实现对安全区与非安全区的初步识别。在此基础上，依据高炮安全射界图绘制规范结合目视判读进行人工订正，实现人工影响天气作业点高炮安全射界图的自动绘制。结果表明：该安全射界图辅助绘制系统，结合了图像识别技术和Access数据库管理技术，能够有效利用高分辨率卫星影像，识别过程快速准确，对不同类型的作业点均有较好的效果，有利于射界图信息化管理，满足安全射界图标准，能够应用于人工影响天气作业。

关键词: 关键词：安全射界, 识别, 去雾, 分割, 去噪