【摘要】：正射影像的無縫拼接技術,是數(shù)字正射影像產(chǎn)品(DOM)生產(chǎn)必不可少的一步,無縫自動拼接技術是攝影測量與遙感發(fā)展的一個愿景,也對最終DOM產(chǎn)品質量起著關鍵性的作用。當前,在以航空影像及無人機影像為數(shù)據(jù)源進行數(shù)字正射影像產(chǎn)品生產(chǎn)過程中,影像拼接中的拼接線網(wǎng)絡自動優(yōu)化仍然是制約數(shù)字正射影像生產(chǎn)自動化的瓶頸問題。本文以解決航空影像及無人機影像的正射影像產(chǎn)品生產(chǎn)過程中的這個瓶頸問題為目的,對涉及到的若干關鍵問題進行了研究。主要的研究工作如下： (1)正射影像糾正。針對正射影像計算密集型特點,提出了一種基于OpenMP的影像正射糾正方法,對影像正射糾正進行并行加速,提高程序運行效率,縮短程序運行時間。對多核計算機的計算效率進行了分析,實驗結果表明本文方法可以有效保證正射影像糾正的效率。 (2)拼接線網(wǎng)絡自動生成。依據(jù)一種新的顧及重疊的面Voronoi圖,并對基于顧及重疊的面Voronoi圖提出了一種接縫線網(wǎng)絡的自動生成的方法。解決了重疊區(qū)域是凸多邊形或凹多邊形的中軸線問題,解決了重疊區(qū)域交點個數(shù)兩個以上的情況。并提高了大范圍影像鑲嵌時的質量和效率問題。本文在生成拼接線網(wǎng)絡時,首先是對存在重疊區(qū)正射影像面集區(qū)域的進行重新劃分,根據(jù)每張正射影像圖所屬的有效鑲嵌多邊形進行掃描線填充來形成最終的影像鑲嵌圖。生成的拼接線網(wǎng)絡是基于全局的,整體考慮了拼接范圍內的所有要處理的正射影像,將各個正射影像的覆蓋的有效范圍劃分成了有效的鑲嵌多邊形,并且這種劃分是唯一的、無縫的和無冗余的。 本文提出的正射影像糾正與接縫線網(wǎng)絡自動生成方法采用Visual C++進行了實現(xiàn),并且開發(fā)了原型系統(tǒng),采用實際的無人機影像和航空傾斜影像以及對應的DEM數(shù)據(jù)進行了實驗,結果表明本文方法具有可行性。圖29個,表6個,參考文獻37個
[Abstract]:Seamless mosaic technology of orthophoto image is an indispensable step in the production of digital orthophoto product (DOM). Seamless automatic stitching technology is a vision of photogrammetry and remote sensing development, and also plays a key role in the final product quality of DOM. At present, in the production process of digital orthophoto products based on aerial images and UAV images, the automatic optimization of stitching line in image mosaic is still a bottleneck problem that restricts the automation of digital orthophoto production. In order to solve the bottleneck problem in the production of aerial image and UAV image orthophoto products, this paper studies some key problems involved. The main research work is as follows: (1) orthophoto correction. In view of the computational intensive characteristics of orthophoto, a method of orthophoto correction based on OpenMP is proposed, which accelerates the correction of orthophoto in parallel, improves the efficiency of the program and shortens the running time of the program. The computational efficiency of multi-core computer is analyzed. The experimental results show that the proposed method can effectively guarantee the efficiency of orthophoto correction. (2) automatic generation of splicing network. Based on a new surface Voronoi graph with overlapping in mind, an automatic generation method of seam line network based on the overlapping plane Voronoi graph is proposed. The problem that overlapping region is the central axis of convex polygon or concave polygon is solved, and more than two intersection points of overlapping region are solved. It also improves the quality and efficiency of large-scale image mosaic. In this paper, the first step is to redivide the area of orthophoto surface set with overlapped area, and fill the scanning line according to the effective mosaic polygon of each orthophoto image to form the final image mosaic image. The generated splicing network is based on the whole situation. It takes into account all the orthophoto images to be processed in the mosaic range, and divides the effective range of each orthophoto image into effective mosaic polygons, and this partition is unique. Seamless and non-redundant. In this paper, the orthophoto correction and seam line network automatic generation method is implemented by Visual C, and a prototype system is developed. The actual UAV image, the aerial tilt image and the corresponding DEM data are used to experiment. The results show that this method is feasible. 29 figures, 6 tables, 37 references
【學位授予單位】：中南大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：P231

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