“In the field of remote sensing classification, researchers have proposed a method based on artificial bee colony algorithm to improve SVM parameters. By mimicking the honey harvesting behavior of bees, SVM classifier parameters are optimized to improve classification accuracy. The experimental results show that the classification accuracy of this method on the UCI dataset and remote sensing images is superior to the SVM algorithm optimized by other artificial intelligence algorithms.”