摘要
目的卫星在获取高空间分辨率的同时会降低其时间分辨率以及观测范围,造成时间分辨率只能在很短时间内可用,并且其较小的观测范围也不能满足要求。方法根据已有的具有高空间、低时间分辨率特征的遥感影像和具有低空间、高时间分辨率特征遥感影像,从解决时空矛盾出发,模拟生成具备高时间分辨率特性和高空间分辨率特性的遥感影像。对尺度下降方法及图像模拟方法做简单介绍,并对遥感图像模拟实例进行分析,主要包括实验流程、数据处理及实验。结果总体分类精度是92.57%,Kappa系数为0.911 2,分类精度比较理想。真实影像NDVI图与模拟影像生成的NDVI图,二者的相关系数为0.89。实验大体上实现了图像模拟,通过真实遥感影像对图像模拟,检验了其科学性和可行性,并且生成NDVI图,证明其有很好的应用价值。结论设计验证方法验证了实验结果,证明该方法科学、可行,并具有很高的实际应用价值。
Objective In the acquisition of high spatial resolution satellites will reduce the time resolution and measurement range,resulting in that time resolution is only available in a very short time and that the smaller range of observation cannot meet the requirements.Methods Based on the existing remote sensing image with high spatial resolution and low resolution remote sensing image with low spatial resolution,a high temporal resolution and high spatial resolution characteristics were generated from the solution.In this paper,the method of scale down and the method of image simulation were introduced,and the remote sensing image simulation was analyzed,including the experimental process,data processing and experiment.Results The overall classification precision was 92.57%,and the Kappa coefficient was 0.911 2.The classification precision was ideal.Real NDVI image and simulated image generated NDVI map,the correlation coefficient of two was 0.89.In general,image simulation was realized in the experiment.The effectiveness and feasibility were verified through the simulation of the real image of remote sensing image,and a NDVI map was generated,proving its good application value.Conclusion The design and verification method is verified by the experimental results,which proves that the method is scientific and feasible and has high practical application value.
出处
《河北北方学院学报（自然科学版）》
2016年第7期10-14,共5页
Journal of Hebei North University:Natural Science Edition
基金
卫星测绘技术与应用国家测绘地理信息局重点实验室经费资助项目(KLSMTA-201304)
安徽省大学生创新创业训练计划项目(201510379046
201510379084
201510379080)
宿州学院卓越人才教育培养计划(szxy2015zjjh01)
宿州学院一般科研项目(2014yyb07)
2015年宿州区域发展协同创新中心学生开放课题(2015SZXTXSKF11)
关键词
遥感图像模拟
遥感影像
实验验证
remote sensing image simulation
remote sensing image
experiment verification
