MODIS遥感影像的几何精校正—以阿勒泰地区为例

Discussion of MODIS imagery geometric precision correction—Takeing the Aletai area as an example

遥感资料的准备和处理是遥感技术在实际应用中的核心工作,几何精校正是利用地面控制点(GCP)对遥感影像进行的几何校正。研究在对阿勒泰地区草地监测时用ERDAS IMAGINE软件对MODIS资料进行几何精校正,主要对相关模型参数设置、控制点输入和几何精校正作了探讨。结果表明:影响几何精校正的因素,主要表现在GCP的数量、分布和定位精度及校正方法和重采样方法。

It is one of crucial techniques to process the data from remote sensing for its practical utilization. The Imagery Geometric Precision Correction is the approach to correct the remote sensing image through the ground control point (GCP). This study is aimed to the geometry calibration of MODIS datum using ERDAS IMAGINE software for the grassland monitoring in Aletai area of Xinjiang and try to probe the parameter selection, control point input and geometrical calibration. The results indicate that the main factors affecting geometrical calibration are number, distribution and precision of GCP, and the approaches for calibration and re-sampling.