Abstract: This paper proposes a remote sensing image correction method based on SA-WPSO. The geometric polynomial model is used as early correction of images to obtain polynomial coefficients, an improved hybrid optimization algorithm SA-WPSO is used to optimize the polynomial correction factor, and the optimized polynomial is utilized to the final geometric correction. Experimental results show that compared with correction algorithms based on quadratic polynomial and cubic polynomial, improved method has higher precision and better robustness.

Key words: remote sensing image, quadratic polynomial, Particle Swarm Optimization(PSO) algorithm, geometric correction, Simulated Annealing(SA) algorithm, global extremum

摘要： 提出一种基于SA-WPSO的遥感图像校正方法。该方法利用多项式模型对图像进行初步几何校正，得到多项式校正系数后，将模拟退火(SA)思想引入粒子群优化(PSO)算法，通过改进的SA-WPSO算法优化多项式校正系数，在此基础上实现图像的几何校正。实验结果证明，与二次多项式及三次多项式校正方法相比，该方法的校正精度更高、鲁棒性更好。

关键词: 遥感图像, 二次多项式, 粒子群优化算法, 几何校正, 模拟退火算法, 全局极值

CLC Number: 

• TN911.73