For features selection from infrared remote sensing image,the genetic algorithm(GA) is used to search for the optimum feature subset based on minimum entropy separability criterion.

• 以最小判别熵可分性判据作为准则,利用遗传算法搜索最优特征子集,实现了遥感红外图像的特征选择。