發(fā)布時間：2019-06-04 01:02

【摘要】：本文主要研究遙感影像融合技術(shù)應用于城市地域擴展動態(tài)監(jiān)測方面,融合后影像的質(zhì)量決定著動態(tài)監(jiān)測的成果,本文比較了多種影像融合方法,選取融合結(jié)果較好的融合方法對沈陽市區(qū)進行地域擴展動態(tài)監(jiān)測。論文要就的主要內(nèi)容如下： (1)用HIS色彩變換融合法、PCA主成分變換融合法和小波變換融合法等進行試驗,對融合結(jié)果進行主客觀評價,傳統(tǒng)影像融合結(jié)果不能滿足動態(tài)監(jiān)測精度； (2)改進傳統(tǒng)影像融合法,主要有HIS與小波變換相結(jié)合融合法、PCA與小波變換相結(jié)合融合法和小波包變換融合法,對融合結(jié)果進行主客觀評價,融合結(jié)果在空間分辨率提高上和光譜信息增加上都要優(yōu)于傳統(tǒng)影像融合方法,其中小波包變換法融合結(jié)果最好； (3)采用小波包融合法融合2010年SOPT和2012年QuickBird影像,融合結(jié)果應用于沈陽市區(qū)地域擴展動態(tài)監(jiān)測,結(jié)果表明融合結(jié)果應用于動態(tài)監(jiān)測是可行的。
[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.
【學位授予單位】：遼寧工程技術(shù)大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：P237

【參考文獻】

相關(guān)期刊論文 前10條

1 馮建輝;楊玉靜;;基于小波-HIS的遙感影像融合方法技術(shù)研究[J];北京測繪;2011年03期

2 盧焱;;多源遙感影像融合方法研究[J];吉林大學學報(地球科學版);2007年S1期

3 李國硯;劉曉玫;李金蓮;;基于多尺度分析的遙感影像融合研究[J];測繪科學;2008年01期

4 韓閃閃;李海濤;顧海燕;;高分辨率遙感影像融合研究[J];測繪科學;2009年05期

5 何原榮;;城市地區(qū)多尺度遙感影像融合研究[J];測繪科學;2009年06期

6 崔永勝;馮聰軍;欒元重;李靜濤;;基于改進的áTrous小波與IHS變換法遙感影像融合[J];測繪科學;2010年01期

7 楚恒;陳良超;王昌翰;向澤君;;一種高保真IKONOS衛(wèi)星遙感影像融合方法[J];測繪通報;2008年11期

8 王樂;牛雪峰;王明常;;遙感影像融合技術(shù)方法研究[J];測繪通報;2011年01期

9 姜蕓;臧淑英;王軍;;多源遙感影像數(shù)據(jù)融合技術(shù)研究[J];測繪與空間地理信息;2009年02期

10 許輝熙;;遙感影像融合方法的精度評價[J];測繪與空間地理信息;2009年06期

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本文編號：2492360