本文選題：SIFT算法　切入點：特征匹配　出處：《電視技術(shù)》2016年09期 　論文類型：期刊論文

【摘要】：針對遙感圖像在光照和幾何差異等復雜因素上引起的匹配誤差,深入研究了SIFT特征描述符的改進方法。利用特征點圓形區(qū)域來構(gòu)造特征描述符,采用自適應量化策略用來局部區(qū)域的劃分和梯度直方圖的計算,并對每個描述子采用一種插值法重新確立主方向,改進SIFT算法的描述符。降低特征點維數(shù)的同時,又保證特征點描述符的獨特性和魯棒性。研究結(jié)果表明,改進的SIFT描述符在遙感圖像幾種復雜環(huán)境下都取得了預期的結(jié)果,證實了改進算法的可行性。
[Abstract]:Aiming at the matching error caused by complex factors such as illumination and geometric difference, the improved method of SIFT feature descriptor is studied in detail. The feature descriptor is constructed by using the circular region of feature points. Adaptive quantization strategy is used to partition the local region and calculate the gradient histogram. An interpolation method is used to re-establish the principal direction of each descriptor, which improves the descriptor of the SIFT algorithm and reduces the dimension of the feature points at the same time. The research results show that the improved SIFT descriptor has achieved the expected results in several complex environments of remote sensing images, which proves the feasibility of the improved algorithm.
【作者單位】： 重慶郵電大學;重慶信科設(shè)計有限公司;
【基金】：重慶市研究生科研創(chuàng)新基金項目(CYS15166)
【分類號】：TP751
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本文編號：1617004