森林资源监测中GF-2卫星影像波段配准误差分析

Analysis of GF-2 satellite image band registration error based on forest resource monitoring

通过对GF-2卫星影像正射校正及波段模拟配准误差试验,分析GF-2卫星正射校正方法的选择以及不同配准误差下对GF-2卫星影像自动分类结果的影响;最后介绍GF-2遥感影像在森林资源监测应用中的初步测试。研究结果表明:正射校正时,当校正精度要求控制在RMS<2时,控制点数量选择范围在85~95间较为合理,且控制点数在90个时,RMS值最小;经有理函数模型与卫片模型比较后,卫片模型校正精度较高;以目视判读为主时,实践中建议使用三次卷积重采样法输出结果最好;波段模拟配准误差试验中,配准误差与各地类面积变化间存在显著的线性关系;对于森林面积监测时,配准误差应小于0.3个像元。此研究可为新型国产卫星数据在森林资源监测中的应用提供参考。

Based on the GF-2 satellite images orthophoto correction and band simulation registration error test,this paper analyzes the selection of GF-2satellite orthorectification method and the influence of GF-2satellite image automatic classification results under the different registration error.Finally,it introduces a primary test of GF-2remote sensing image in forest resources monitoring applications.The results show that:for ortho correction,when the correction accuracy is required to be controlled at RMS<2,the number of control points in the range of 85~95is more reasonable,and when the number of control points is 90,the RMS value is the smallest;after comparing the rational function model and satellite orbital model,the satellite orbital model has the higher correction accuracy;based on visual interpretation,cubic convolution sampling method can output the best results.For band simulation registration error test,there is a significant linear relationship between the registration error and different land area change;and for the forest area monitoring,the registration error shall be less than 0.3pixels.The paper tries to provide a reference for the application of new domestic satellite data to forest resources monitoring.