This paper describes a kind of robust texture feature invariant to rotation and scale changes, which is the texture energy
associated with a mask generated by particle swarm optimization algorithms. The detail procedure and algorithm to
generate the mask is discussed in the paper. Furthermore, feature extraction experiments on aerial images are done.
Experimental results indicate that the robust feature is effective and PSO-based algorithm is a viable approach for the
"tuned" mask training problem.