中圖分類號： TN967.2
文獻標識碼： A
DOI：10.16157/j.issn.0258-7998.211575
中文引用格式： 李家松，李明磊，魏大洲，等. GPS拒止條件下的景象匹配導航方法研究[J].電子技術應用，2022，48(3)：88-93.
英文引用格式： Li Jiasong，Li Minglei，Wei Dazhou，et al. Research on scene matching navigation method under GPS-denied environments[J]. Application of Electronic Technique，2022，48(3)：88-93.

Research on scene matching navigation method under GPS-denied environments

Abstract： This paper presents a visual word-based method for scene-matching aided navigation, which can work under GPS-denied environment. Since the reference satellite images may have many similarities and repetitive textures, it is difficult to initialize the correct correspondences between the reference satellite images and the aerial images only by feature matching. The paper proposes a bag of visual word(BOVW) based method to find the initial corresponding region. First, the reference satellite image is divided into blocks and encoded each block by BOVW model to generate a feature vector, namely block feature histogram. Then, the aerial images are encoded with the same model for screening the initial region from a large collection of blocks. Finally, the scale-invariant features are used to refine registration and calculate the accuracy position. In this paper, the aerial images taken by helicopters and the reference maps extracted from high-resolution satellite images are used for experimental analysis, and the performance is validated by extensive comparisons to state-of-the-art techniques. The experimental results show that the proposed method has good matching reliability and registration accuracy，and can provide support for aircraft positioning requirements based on scene-matching under GPS-denied environment.

Key words : bag of visual word；aircraft positioning；scene-matching aided navigation；block matching；image registration