【摘要】：小基高比攝影測量可有效解決傳統(tǒng)攝影測量在復雜區(qū)域的地形測繪難題，但卻要求極其精確的視差量測精度。高精度影像匹配是實現(xiàn)小基高比條件下高精度定位的關(guān)鍵。本文在深入分析小基高比攝影測量理論的基礎上，探討了基高比、影像匹配精度和交會精度之間的聯(lián)系，深入研究了小基高比條件下影像預匹配、高精度影像匹配等方面的內(nèi)容，取得了一定的進展。論文完成的主要工作和創(chuàng)新點有： 1.論述了本文的研究意義和研究背景，介紹了國內(nèi)外小基高比攝影測量尤其是高精度影像匹配方面的研究現(xiàn)狀。 2.從數(shù)學的角度研究了基高比、噪聲等因素對影像匹配精度和交會精度的影響。研究表明，在小基高比條件下可以通過提升影像匹配的精度彌補交會精度的損失。 3.在深入分析小基高比攝影測量理論的基礎上，設計相關(guān)實驗，利用實際影像探討了基高比、影像匹配精度和交會精度之間的聯(lián)系，驗證了小基高比條件下通過提升影像匹配精度獲取可靠高程信息的可能性。 4.分析了局部匹配算法和全局匹配算法的優(yōu)勢與不足，結(jié)合小基高比影像的特點，，引入了對紋理重復區(qū)域、陰影區(qū)域和斷裂區(qū)域都能有效處理的半全局匹配算法，為小基高條件下高精度影像匹配算法的研究提供穩(wěn)定可靠的初值。在此基礎上，驗證了半全局匹配算法在不同區(qū)域匹配的可靠性和穩(wěn)定性。 5.基于相位相關(guān)基礎理論，分別采用局部上采樣技術(shù)和奇異值分解技術(shù)對相位相關(guān)互功率譜矩陣進行處理，探討了兩種頻率域的高精度影像匹配算法。實驗表明，基于相位相關(guān)的高精度影像匹配算法，在一定條件下能夠獲得較高的匹配精度。
[Abstract]:Small base-to-height ratio photogrammetry can effectively solve the difficult problem of traditional photogrammetry in terrain mapping in complex areas, but it requires extremely accurate parallax measurement accuracy. High-precision image matching is the key to achieve high-precision positioning under the condition of small base-to-height ratio. On the basis of deep analysis of the theory of small base height ratio photogrammetry, this paper discusses the relationship among base height ratio, image matching precision and rendezvous precision, and deeply studies the image pre-matching under the condition of small base height ratio. High-precision image matching and other aspects of the content, has made some progress. The main work and innovations completed in this paper are as follows: 1. This paper discusses the research significance and background of this paper, and introduces the research status of small base-height ratio photogrammetry, especially high-precision image matching at home and abroad. 2. The effects of fundamental height ratio, noise and other factors on image matching accuracy and rendezvous precision are studied from the point of view of mathematics. The research shows that the loss of rendezvous precision can be compensated by improving the accuracy of image matching under the condition of small base-height ratio. 3. On the basis of in-depth analysis of the theory of small base-height ratio photogrammetry, relevant experiments are designed and the relationship among base-height ratio, image matching accuracy and rendezvous precision is discussed by using actual images. The possibility of obtaining reliable elevation information by improving the image matching accuracy under the condition of small base-to-height ratio is verified. 4. The advantages and disadvantages of local matching algorithm and global matching algorithm are analyzed. A semi-global matching algorithm, which can deal with texture repeat region, shadow region and fracture region effectively, is introduced according to the characteristics of small base-to-height ratio image. It provides a stable and reliable initial value for the research of high precision image matching algorithm under small base and high condition. On this basis, the reliability and stability of the semi-global matching algorithm in different regions are verified. 5. Based on the phase correlation theory, the phase correlation mutual power spectrum matrix is processed by local upsampling technique and singular value decomposition (SVD) technique, and two high precision image matching algorithms in frequency domain are discussed. Experimental results show that the high-precision image matching algorithm based on phase correlation can obtain high matching accuracy under certain conditions.
【學位授予單位】：解放軍信息工程大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：P236

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相關(guān)期刊論文 前1條

1 李二森;張保明;劉景正;郭海濤;初艷鋒;盧俊;;SIFT特征匹配技術(shù)在自動相對定向中的應用[J];測繪科學;2008年05期

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