基于高分遥感图像处理技术的公路勘查方法研究  

Research on Highway Survey Method Based on High-Resolution Remote Sensing Image Processing Technology

作　　者：魏清 陈锦文 WEI Qing;CHEN Jinwen(Shaanxi Transportation Planning and Design Institute Co.,Ltd.,Xi’an 710000,China)

机构地区：[1]陕西省交通规划设计研究院有限公司,陕西西安710000

出　　处：《自动化仪表》2024年第3期12-17,共6页Process Automation Instrumentation

基　　金：陕西交通科技基金资助项目(18-28x)。

摘　　要：针对公路高分遥感勘测技术中,遥感图像易受天气干扰、数据分析精确度低等问题,研究了基于高分遥感图像处理技术的公路勘查方法。设计了双行信息采样电路以及采样信息保持电路,实现了公路勘查过程中的高清图像信息采集,由此避免因自身电源频率、外部磁场等因素的干扰而产生图像噪点,保证采集图像信息的准确性。此外,采用一种暗通道先验模型去云雾技术,能够有效排除云雾天气对遥感图像采集的干扰。通过基于Storm的大数据算法,提高系统的整体数据分析及传输能力。试验结果表明,该方法不仅增强了去云雾能力,还可以还原正常图像85%左右的图像特征点。该方法具有很强的数据处理、抗干扰以及数据传输能力。Aiming at the highway high-resolution remote sensing survey technology,the remote sensing image is susceptible to weather interference,data analysis accuracy is low and other problems,the highway survey method based on high-resolution remote sensing image processing technology is studied.The dual-line information sampling circuit and the sampling information holding circuit are designed to realize high-definition image information acquisition in the process of highway survey,thus avoiding image noise due to the interference of its own power supply frequency,external magnetic field,and other factors,and ensuring the accuracy of the acquired image information.In addition,a dark-channel priori model de-cloud technology is adopted,which can effectively eliminate the interference of cloudy weather on remote sensing image acquisition.The overall data analysis and transmission capability of the system are imporved through the Storm-based big data algorithm.The experiments results show that the method not only enhances the de-cloud ability,but also can restore about 85%of the image feature points of the normal image.The method has strong data processing,anti-interference,and data transmission capabilities.

关 键 词：公路勘察 高分遥感技术 暗通道先验模型 双行信息采样 去云雾技术 数据传输 大数据算法 

分 类 号：TH39[机械工程—机械制造及自动化]