A Fast Registration Algorithm of Sar and Panchromatic Images

On the basis of Powell algorithm, a parallel optimization is proposed to reduce the amount of calculation and operation time in SAR and panchromatic image registration algorithms. The paper introduces CCRE(crossing cumulative residual entropy) as measurements of image registration and density functions are replaced by survival functions to calculate the histogram information greater than a specified threshold, and CCRE can effectively improve registration accuracy loss caused by the noise and calculation errors, compared with selecting mutual information. Powell multi-directional algorithm can simplify the multi-parameter extreme-value problem of solving optimal CCRE to one-dimensional extreme-value problem, achieving the purpose of reducing iteration number and shorten registration time. In order to make the registration algorithm faster, a parallel algorithm that assigns amount of independent date computing work to multiple threads is proposed, so that large chunks of data can be processed in parallel, accelerating the processing speed. Experiment shows that this method has well acceleration effect.