Research on Highway Survey Method Based on High-Resolution Remote Sensing Image Processing Technology
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.
Highway surveyHigh-resolution remote sensing technologyDark-channel priori modelDual-line information samplingDe-clouding technologyData transmissionBig data algorithm
NETL
NSTL
万方数据
