基于KPCA和K-Means++的秦岭植被变化检测

Vegetation change detection in Qinling Mountains based on KPCA and K-means++

本项目通过对秦岭北麓西安段近几年的高分辨率高光谱卫星遥感影像进行植被信息提取,数据融合和植被覆盖变化进行研究。从而对方法进行创新,使用KPCA和K-Means++的方法为对遥感信息进行变化检测。为实时保护秦岭提供科学方法,为秦岭植被变化监测提供科学依据也同时为遥感信息处理提供方法参考。

In this project,the vegetation information extraction,data fusion and vegetation cover change of Xi’an section of the northern foot of Qinling Mountains in recent years are studied.The KPCA and K-means++methods are used to detect the change of remote sensing information.It provides scientific methods for real-time protection of Qinling Mountains,provides scientific basis for vegetation change monitoring,and provides method reference for remote sensing information processing.