基于正解有理函數(shù)模型的遙感影像三維重建【源代碼+開(kāi)題報(bào)告+畢業(yè)論文】


目錄
摘要
Abstract
第一章  緒論 1
1.1  引言 1
1.2  研究背景和意義 1
1.3  研究的主要內(nèi)容和論文的組織 2
第二章  有理函數(shù)模型的研究 4
2.1  有理函數(shù)的定義 4
2.2  共線方程 5
2.3  有理函數(shù)模型的性質(zhì) 6
第三章  有理函數(shù)模型的應(yīng)用 9
3.1  迭代最小二乘解法和RFM的答解 9
3.2  正解RFM擬合精度的討論 13
3.3  RPC模型的系統(tǒng)誤差補(bǔ)償 14
第四章  正解有理函數(shù)模型三維重建應(yīng)用實(shí)例與分析 16
4.1  正解RFM三維重建算法 16
4.2  正解RFM模型定位實(shí)驗(yàn)結(jié)果和分析 22
4.3  有理函數(shù)模型的綜合評(píng)價(jià) 27
第五章  結(jié)論與展望 29
5.1  總結(jié) 29
5.2  需要進(jìn)一步研究的問(wèn)題 29
參考文獻(xiàn)
致謝

 
摘要
針對(duì)高分辨率遙感影像，本文探討了基于有理函數(shù)的廣義傳感器模型，系統(tǒng)地研究了有理函數(shù)模型(RFM)的理論、算法和各種特性。包括利用控制點(diǎn)確定參數(shù)、目標(biāo)點(diǎn)定位、多項(xiàng)式次數(shù)的選擇、與直接線性變換(DLT)、多項(xiàng)式模型的關(guān)系等。
    本文對(duì)處理衛(wèi)星影像的常見(jiàn)數(shù)學(xué)模型的原理作了簡(jiǎn)單的介紹，在此基礎(chǔ)上，對(duì)有理函數(shù)模型(RFM)進(jìn)行了研究，重點(diǎn)探討了正解有理函數(shù)模型特點(diǎn)和應(yīng)用，以及基于正解有理函數(shù)模型的地面點(diǎn)三維定位算法，并用實(shí)驗(yàn)驗(yàn)證該算法的正確性、可行性，探討了相應(yīng)的定位精度。介紹了改正RPC模型系統(tǒng)誤差的物方和像方方案，試驗(yàn)證明通過(guò)對(duì)系統(tǒng)誤差的補(bǔ)償，能顯著地提高立體影像的定位精度。
    本文在模型的建立、立體交會(huì)解法、理論特性等方面進(jìn)行了系統(tǒng)的研究和分析。研究結(jié)果表明，通過(guò)適當(dāng)方式構(gòu)建的有理函數(shù)模型其擬合誤差可以忽略，因此一定程度上可以替代嚴(yán)格成像模型完成攝影測(cè)量處理，同時(shí)無(wú)物理意義的有理函數(shù)系數(shù)可以有效地實(shí)現(xiàn)傳感器成像信息的隱藏。

    關(guān)鍵詞：線陣CCD影像、有理函數(shù)模型，三維重建

 
Abstract
The rational function model has recently gained considerable interest in remote sensing community. Compared to polynomial models widely used, RFM is essentially a more generic and expressive form of various sensor geometry models. In this paper, the aspects of RFM such as the theory, algorithm and characteristics are studied.
  This paper first simply introduces the principles and technical methods of some popular math models which are used to process satellite images , then it studies the rational function model (RFM) comprehensively, probes into its solving methods, develops the stereo geopositioning algorithm based on it, and tests its validity, feasibility and geopositioning accuracy. This paper discusses the geopositioning algorithm of stereo images' RPC models, offers the object space scheme and image space scheme to compensate the systematic error, these two schemes can promote the geopositioning precision of the stereo imageries remarkably.
This paper analyzes systematically from setting up of the model, algorithm of stereo intersection, and theoretical feature. Results show that a properly modeled rational function can achieve an accuracy of rigorous model and can be used to complete photogrammetric processing in place of rigorous model, and, at the same time, the non-physical coefficients of rational function can realize hiding of the sensor's imaging information effectively.

Key Words: linear array CCD image, rational function model, three-dimensional rebuilding