TY -的A2 -史,应PY Guolong AU - Li - 2021 DA - 2021/09/09 TI -监控和动态变化的数学模型分析土地资源基于SAR图像传感器SP - 1661825六世- 2021 AB -土地资源动态变化的监测和分析可以检测土地针对单波段的变化或多波段遥感图像的多个阶段在一个特定的区域或目标与图像处理方法,也可以提取变化信息,实现遥感监测通过多相的综合分析遥感图像。合成孔径雷达(SAR)图像变化检测技术,高分辨率的优点,精度高、实时服务,和快速成像,可以实现定性或定量分析的目标,正逐渐广泛应用于季度监测、应急监测、postbatch验证,土地执法检查和检验、收购和其他遥感数据和分析。因此,总结以前的研究成果的基础上,研究工作,本文阐述了研究的现状和意义在土地资源动态变化的监测和分析;阐述了开发背景、现状和未来的挑战SAR传感器数据;介绍了带设置的方法和原则,偏振模式、几何校正、图像过滤;提出土地资源的状态目标识别;探讨了动态信息发现的土地资源;进行土地资源动态变化监测的基于SAR传感器数据;分析了SAR传感器数据的基础和特点;执行的泛化和优化土地资源信息; demonstrated the dynamic change analysis of land resources based on SAR sensor data; compared the acceptance ability and accuracy of SAR sensor data; and discussed the discovery and extraction of dynamic information of land resources. The results show that the SAR sensor data can monitor the characteristics of scattering points in land resource observation scenes and can obtain the change information of ground object by distance component and band component, so that the SAR system can make two-dimensional imaging of land resources directly in front of the receiving platform. Thus, the SAR data obtained by multisystem parameters shows great application potential in land resource monitoring, which provides the possibility of decoupling to remove land resources and surface roughness and thus provides possible solutions for land resource analysis in complex environment. The results of this paper provide a reference for the follow-up studies on the monitoring and analysis of dynamic changes in land resources based on SAR sensor data. SN - 1687-725X UR - https://doi.org/10.1155/2021/1661825 DO - 10.1155/2021/1661825 JF - Journal of Sensors PB - Hindawi KW - ER -