To stitch remote sensing images seamlessly without producing visual artifact which is caused by severe intensity
discrepancy and structure misalignment, we modify the original structure deformation based stitching algorithm which
have two main problems: Firstly, using Poisson equation to propagate deformation vectors leads to the change of the
topological relationship between the key points and their surrounding pixels, which may bring in wrong image
characteristics. Secondly, the diffusion area of the sparse matrix is too limited to rectify the global intensity discrepancy.
To solve the first problem, we adopt Spring-Mass model and bring in external force to keep the topological relationship
between key points and their surrounding pixels. We also apply tensor voting algorithm to achieve the global intensity
corresponding curve of the two images to solve the second problem. Both simulated and experimental results show that
our algorithm is faster and can reach better result than the original algorithm.