【作者】 王磊；

【导师】 杨国东；

【作者基本信息】 吉林大学 ， 测绘工程（专业学位）， 2018， 硕士

【摘要】 近年来国产高分遥感技术的发展十分迅速,在如何提升影像的获取能力和增强遥感影像的空间分辨率方面的研究成为我国遥感技术的关键。大比例尺遥感变化检测与制图和在小空间尺度上观测地球表面的细小变化一直是当前遥感研究领域的技术难点,而随着高分辨率卫星影像的出现使这些问题得以解决成为可能。这也使得高分辨率卫星影像的发展具有广阔的前景。现如今,已经成为农业、环境、测绘和国土等行业与领域管理与规划的重要技术支持的遥感卫星数据在各个部门与行业的促进下飞速发展。同时,国产高分辨率卫星的进步,也开始服务于我国乃至世界的各行各业。其中最具代表性的当属高分二号卫星,这也使得如何探索出怎样更加合理、高效的利用高分二号数据成为当前科学研究的重要课题。本文利用高分二号遥感数据,从几何校正中不同校正模型、不同控制点数量和市面上可以大量免费获取的两种DEM数据等三个方面对高分二号影像进行了深入的研究,取得了以下的成果:(1)在本文的实验中分别运用不同阶次的多项式模型、RST仿射变换模型和RPC有理函数模型对高分二号遥感影像进行几何校正实验研究。通过实验分析得出,对高分二号遥感影像纠正的几何校正模型中采用RPC有理函数模型可以得到较高的精度。(2)运用不同模型进行几何校正,同时进行了不同控制点数的几何校正试验并进行了对比。在实验中不同模型分别采用相同的控制点与校正点进行处理与检查,相同模型采用不同数量的控制点与校正点进行处理与检查。经精度分析后,得出了使用8个及8个以上数量的控制点对单景高分二号数据的几何校正可以得到较为理想的纠正精度。(3)对高分二号多光谱影像分别运用ASTER GDEM数据与SRTM数据进行校正实验,两次实验均选用相同的10个控制点进行校正工作且重采样方式和其余实验均相同,实验后用相同检查点进行精度检校。通过对实验结果的分析,得出两种DEM数据中ASTER GDEM数据的校正精度比SRTM数据的校正精度高。更多还原

【Abstract】 Domestic high-resolution remote sensing technology has developed rapidly in recent years,and how to improve the acquisition ability of images and enhance the spatial resolution of remote sensing images became the keys to our country’s remote sensing technology.Large scale remote sensing change detection and mapping and observing small changes on the earth’s surface at small spatial scale have always been the major problems in the current world.But these problems have been solved with the advent of high-resolution satellite images.This also broad the prospect for the development of high-resolution satellite images.Remote sensing satellites which became the important technical support for agriculture,environment,mapping and land and other industries and domain management and planning nowadays.At the same time,domestic high-resolution satellites began to serve all walks of life in China and the world.The most representative is the domestic GF-2 remote sensing satellite.This is also a top priority to explore how to make more rational and efficient use of GF-2 data for current scientific research.This paper uses GF-2 remote sensing image data.We studied GF-2 images from different correction models,different number of control points and different DEM data of geometric correction deeply.And I have achieved the following results:In this paper,we use different geometric correction models to perform geometric correction experiments on GF-2 remote sensing images.This paper concludes that RPC rational function model is most suitable geometry correction model for GF-2 remote sensing image correction through experimental analysis.In this paper,comparative study of geometric correction experiments with different number of control points was in progress while using different models for geometric correction.In the experiment,used the same control points and correction points for processing and checking.After the accuracy analysis,also considered of time and manpower and other factors comprehensively.This paper concludes that uses 8 or more control points is the best choice for the geometric correction of single-view GF-2 data.In the final experiment,this paper performed correction experiment on GF-2 multispectral images with ASTER GDEM data and SRTM data.Both experiments uses the same ten control points for correction and resampling method was same as other experiments.After the experiment,used the same pre-prepared checkpoints for accuracy verification.This paper concludes that ASTERGDEM data is suitable for DEM data of GF-2 for geometric correction after analyzing the experimental results.更多还原