摘要
利用ENVI 5.3软件,对滇中某研究区域2015年森林资源二类调查影像和2018年森林资源监测影像进行预处理,按照统一的分类体系对两期影像进行面向对象图像分类,利用流程化动态监测工具实现变化检测。研究结果表明,面向对象的变化检测技术可以很好地区分光谱特征相似或相近的地表覆盖,一定程度上消除并克服了“同物异谱”、“同谱异物”的光谱特征现象,精度分析结果,可满足森林资源变化检测的需要。
ENVI 5.3 software was used to preprocess the forest resource inventory and planning images in 2015 and the forest resource monitoring images in 2018 in central Yunnan.The object-oriented images were classified according to a unified classification system for the two phases,and the change detection was realized by process dynamic monitoring tools.The results showed that the object-oriented change detection technology could distinguish the surface coverage with similar spectral characteristics,eliminate the spectral characteristics of“the same object with different spectrum”and“the different object with the same spectrum”to a certain extent,and the accuracy analysis results could meet the needs of forest resource change detection.
作者
昝建春
冷鸿天
ZAN Jianchun;LENG Hongtian(Yunnan Institute of Forest Inventory and Planning,Kunming 650051,China)
出处
《林业调查规划》
2021年第2期8-12,共5页
Forest Inventory and Planning
基金
云南省林业调查规划院青年联合会科研项目(1QL007Z00018)。
关键词
森林资源
变化检测
遥感影像
面向对象分类
流程化动态检测
forest resources
change detection
remote sensing image
object-oriented classification
process dynamic detection
