高分辨率遥感图像分类方法在LUCC中的研究进展

New Progress in the Classification of High Spatial Resolution Satellite Images for LUCC

高空间分辨率遥感图像在土地利用/覆盖(LUCC)变化研究中的应用,促进了遥感分类技术的进一步发展,表现在遥感分类对象、分类特征和分类器3个方面。本文对其研究进展情况进行了综述,介绍了具有代表性的分类方法,并对各种方法的特点进行了分析。最后,对遥感分类的相关研究进行了总结和展望。

The application of high spatial resolution remote sensing images to the study of LUCC has promoted the further development of remote sensing classification techniques in three aspects, namely classification object, classification features and classifiers. This paper gives a review of the new progress, describes the representative methods, analyzes characteristics of various methods, and summarizes the progress in the study of remote sensing classification.