【摘要】 本文研究了在勘探矢量图约束下基于特征点的遥感影像精校正处理方法。从可形成数字化地震采集工程图的两种图件——遥感影像和勘探矢量图的特点分析入手,阐述了遥感影像精校正过程中特征点的选择原则和方法,并以矢量图作为约束,采用全局和局部变换相结合的方式建立数学模型,利用最小二乘法求取变换参数,对数据做重采样处理,实现遥感影像的图像精校正。在此基础上,提出了一套可用于地震采集工程的遥感影像精校正处理流程。实际的应用图件表明该技术和流程是可行性的。更多还原

【Abstract】 The paper studied exploration-vector-map-constrained and characteristic-points-based fine correction processing of remote-sensing image.Starting from the property of two maps of digitized seismic acquisition engineering map----remote-sensing image and exploration vector map,the paper expounded the principle and method for selecting characteristic points in a process of fine remote-sensing image correction; then taking vector map as constraint,using the mode combining local with global transforms to create math model,utilizing least square method to compute transformation parameters and resampling the data,that can realize the fine correction of remote-sensing image.On that basis,the paper presented a set of processing flow of fine correction of remote-sensing image used for seismic acquisition engineering.The practically applied maps showed the technique and the flow are feasibility.更多还原