The registration of sequential images acquired through floating aerial platform is a difficult problem up to date. The floating aerial platform can get sequential images of the down-looking scene in bad environment

with which the wide visual field image can be got by stitching for further research . Influenced by many factors

sequential images have the transformation of rotation

unequal scaling and translation

noise and geometric deforming. In order to solve this problem

this paper proposes a new algorithm. In the algorithm

firstly

segment the image with the iterative threshold method and use crossing linker to record and express the characteristic area information. Secondly

construct the homonymy matrix of characteristic areas and search the homonymy matrix to get matching pairs of homonymy areas between sequential images automatically

Lastly

calculate the registration parameters of sequential images including rotating

scaling and translation. The experimental result demonstrates this algorithm is robust

efficient and reliable for certain amount of sequential images

and has theoretic value and practical significance.