基于可拓分类器的高分辨率遥感影像分类

The Classification of the High Resolution Remote Sensing Images Based on the Extenics Classifier

可拓学作为一种新的人工智能方法,在遥感图像智能分类研究中应该有着广泛的应用前景。本文以无人驾驶的小飞机在低空拍摄的高分辨率遥感影像的分类为例,说明了可拓分类器的构造和使用。实验结果表明,像元分类精度达到了91.1%,Kappa系数达到0.893,具有较高的图像分类精度。

Extenics as a new kind of artificial intelligence methods,would be used widely in classification of the remote sensing images.A case study is carried on in this paper to show the construction of the extenics classifier and its application in the high resolution remote sensing image.The right rate is about 91.1% and the Kappa index is 0.893,it shows that the extenics classifier has a high precision in classification of the remote sensing images.