本文選題：SIFT + 嫦娥三號著陸器��； 參考：《測繪科學(xué)》2017年05期

【摘要】：針對傳統(tǒng)SIFT匹配方法用于嫦娥三號降落影像匹配效率低的問題,提出了一種改進(jìn)的降落影像序列特征匹配方法。重構(gòu)了著陸器垂直降落階段拍攝過程的幾何模型,并得到了不同降落影像中的同名匹配點之間的幾何約束關(guān)系,然后通過SIFT方法進(jìn)行影像中極值點的提取和特征描述,最終將幾何模型約束用于極值點的匹配點搜索過程中,優(yōu)化了匹配過程。采用嫦娥三號著陸器真實降落影像進(jìn)行了試驗,結(jié)果表明,改進(jìn)方法能夠取得較為穩(wěn)定的匹配結(jié)果,且平均可以減少約為18%的匹配耗時,研究結(jié)果對后續(xù)深空探測任務(wù)的開展具有重要的參考價值。
[Abstract]:Aiming at the low efficiency of traditional sift matching method for Chang 'e-3 landing image, an improved feature matching method for landing image sequence is proposed. The geometric model of the shooting process of the lander in the vertical landing stage is reconstructed, and the geometric constraint relations between the matching points of the same name in different landing images are obtained. Then, the extraction and feature description of the extreme points in the images are carried out by sift method. Finally, geometric model constraints are applied to the matching point search process of extremum points, and the matching process is optimized. The real landing image of Chang 'e-3 lander is used to test. The results show that the improved method can obtain stable matching results and reduce the matching time by about 18% on average. The research results have important reference value for the following deep space exploration mission.
【作者單位】： 遼寧工程技術(shù)大學(xué)測繪與地理科學(xué)學(xué)院;中國科學(xué)院遙感與數(shù)字地球研究所;
【基金】：國家重點研發(fā)計劃(2016-YFC0803102) 國家自然科學(xué)基金項目(41401535)
【分類號】：P184.5

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1 魯宇航;苗放;都駿;;基于特征匹配的月球撞擊坑自動提取研究[J];測繪科學(xué);2013年05期

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本文編號：2073473