ISAR Image Matching and 3D Reconstruction Based on Improved SIFT Method

In this paper, the matching problem of inverse synthetic aperture radar (ISAR) image sequences and three-dimensional (3D) reconstruction problem are analyzed. Firstly, this paper proposes an improved image matching algorithm based on Scale Invariant Feature Transform (SIFT), which realizes the association of feature points of ISAR image sequences. In the new algorithm, the transformation matrix between images is calculated. Compared with the traditional SIFT matching algorithm, the problem of few matching points is resolved, and the number of associated points is increased. Then, using the matrix factorization method, the 3D position matrix is decomposed from the observation matrix to realize the 3D reconstruction of the target. Finally, the effectiveness of the association and 3D reconstruction algorithms were verified using simulated aircraft data.