多源遥感影像融合在城市地域扩展动态监测中的应用

发布时间：2019-06-04 01:02

【摘要】：本文主要研究遥感影像融合技术应用于城市地域扩展动态监测方面,融合后影像的质量决定着动态监测的成果,本文比较了多种影像融合方法,选取融合结果较好的融合方法对沈阳市区进行地域扩展动态监测。论文要就的主要内容如下： (1)用HIS色彩变换融合法、PCA主成分变换融合法和小波变换融合法等进行试验,对融合结果进行主客观评价,传统影像融合结果不能满足动态监测精度； (2)改进传统影像融合法,主要有HIS与小波变换相结合融合法、PCA与小波变换相结合融合法和小波包变换融合法,对融合结果进行主客观评价,融合结果在空间分辨率提高上和光谱信息增加上都要优于传统影像融合方法,其中小波包变换法融合结果最好； (3)采用小波包融合法融合2010年SOPT和2012年QuickBird影像,融合结果应用于沈阳市区地域扩展动态监测,结果表明融合结果应用于动态监测是可行的。
[Abstract]:This paper mainly studies the application of remote sensing image fusion technology in the dynamic monitoring of urban regional expansion. The quality of the fusion image determines the results of dynamic monitoring. In this paper, a variety of image fusion methods are compared. The fusion method with good fusion results is selected to monitor the regional expansion of Shenyang urban area. The main contents of this paper are as follows: (1) the fusion results are evaluated subjectively and objectively by using HIS color transformation fusion method, PCA principal component transform fusion method and wavelet transform fusion method. The traditional image fusion results can not meet the dynamic monitoring accuracy. (2) the traditional image fusion method is improved, including the combination of HIS and wavelet transform, the combination of PCA and wavelet transform and the fusion method of wavelet packet transform, and the subjective and objective evaluation of the fusion results is carried out. The fusion results are superior to the traditional image fusion methods in the improvement of spatial resolution and the increase of spectral information, among which the wavelet packet transform method is the best. (3) the wavelet packet fusion method is used to fuse the 2010 SOPT images and the 2012 QuickBird images. The fusion results are applied to the dynamic monitoring of Shenyang urban area expansion. The results show that the fusion results are feasible for dynamic monitoring.
【学位授予单位】：辽宁工程技术大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P237

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