本文選題：國產(chǎn)衛(wèi)星影像 + 立體匹配片�。� 參考：《中國地質(zhì)大學(xué)(北京)》2015年碩士論文

【摘要】：隨著現(xiàn)代科技的快速發(fā)展,遙感衛(wèi)星在測繪領(lǐng)域中的應(yīng)用越來越廣。近年來,我國著重大力發(fā)展自己的測繪衛(wèi)星系統(tǒng),先后發(fā)射了資源系列和天繪系列等國產(chǎn)衛(wèi)星,實(shí)現(xiàn)了我國國產(chǎn)測繪衛(wèi)星的自主化。國產(chǎn)衛(wèi)星系統(tǒng)的建立,需要有相應(yīng)的立體測圖方法對采集的衛(wèi)星影像數(shù)據(jù)進(jìn)行處理。針對國產(chǎn)三線陣衛(wèi)星影像數(shù)據(jù),本文提出了基于立體匹配片的無縫立體測圖模型方法。首先利用已知的原始影像和RPC參數(shù),采用基于投影基準(zhǔn)面的近似核線影像生成方法進(jìn)行核線重采樣,然后通過SGM密集匹配方法,得到同名點(diǎn)的對應(yīng)關(guān)系,內(nèi)插生成數(shù)字高程模型,并對原始影像進(jìn)行數(shù)字糾正生成正射影像,最后通過對數(shù)字高程模型人為的引入視差,對正射影像作重采樣,生成該正射影像的立體匹配片。選取資源三號衛(wèi)星同一條航帶的三景影像數(shù)據(jù),利用該數(shù)據(jù)處理流程生成立體正射影像像對,左影像為正射影像,右影像為立體匹配片。采用蟻群拼接優(yōu)化算法對立體正射像對的左片和右片分別進(jìn)行影像拼接,生成了正射影像和立體匹配片。對本文方法構(gòu)建的無縫立體測圖模型進(jìn)行了可行性的驗(yàn)證,分別對兩幅拼接后的大范圍正射影像和立體匹配片的灰度進(jìn)行線性拉伸,并用紅、綠波段疊加顯示,利用構(gòu)建的測圖模型和已有商業(yè)軟件測圖模型選取若干坐標(biāo)點(diǎn)進(jìn)行比較驗(yàn)證,得到本文提出的模型實(shí)現(xiàn)方法的測圖精度符合精度標(biāo)準(zhǔn),完全可以滿足立體測圖的要求。
[Abstract]:With the rapid development of modern science and technology, remote sensing satellites are more and more widely used in the field of surveying and mapping. In recent years, China has made great efforts to develop its own surveying and mapping satellite system, and has successively launched a series of domestic satellites, such as resource series and Tianyi series, so as to realize the autonomy of China's domestic surveying and mapping satellites. The establishment of domestic satellite system requires the corresponding stereo mapping method to process the collected satellite image data. In this paper, a method of seamless stereo mapping model based on stereo matching is proposed for the domestic three-line array satellite image data. Firstly, using the known original image and RPC parameters, the method of generating approximate kernel line image based on projection datum is used to resample the kernel line, and then the corresponding relation of the same name point is obtained by SGM dense matching method. The digital elevation model is generated by interpolation, and the original image is digitally corrected to generate orthophoto image. Finally, by introducing the parallax artificially to the digital elevation model, the orthophoto image is re-sampled to generate the stereo matching piece of the orthophoto image. In this paper, the three scene image data of the same belt of Resource-3 satellite are selected, and the stereo orthophoto image pair is generated by using the data processing process. The left image is a orthophoto image and the right image is a stereo matched image. The left and right images of stereo orthotropic image pairs were spliced by ant colony mosaic optimization algorithm, and orthophoto images and stereo matching pieces were generated. The feasibility of the seamless stereo mapping model constructed by this method is verified. The gray scales of two large range orthophoto images and stereo matching pieces are stretched linearly respectively and displayed in red and green bands. By comparing and verifying some coordinate points by using the constructed mapping model and commercial software mapping model, it is obtained that the mapping accuracy of the method proposed in this paper accords with the precision standard, and it can completely meet the requirements of stereoscopic mapping.
【學(xué)位授予單位】：中國地質(zhì)大學(xué)(北京)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P237

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