摘要
以工矿区陆面演变遥感动态监测为研究目标,建立了包括图像运算、图像变换、分类统计、模型分析4个层次的遥感动态监测应用体系,在分析现有算法的基础上,提出了综合动态监测方法和基于灰度回归的变化检测算法,最后通过多时相主成分分析方法进行了实例分析.
Taking the dynamic monitoring of terrestrial surface evolution (TSE) in mining areas by multi-temporal RS information as studying object, a framework of information processing methods for RS dynamic monitoring was proposed. It consistes of four levels: image computation, image transformation, classification and statistics, and model analysis. Based on those available methods two new methods including synthetic dynamic monitoring method and change detection by gray regression were proposed. Finally, an example of multi-temporal PCA was given.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
2004年第3期249-253,共5页
Journal of China University of Mining & Technology
基金
教育部博士点基金项目(20010290006)
国家自然科学基金项目(49871069
40201036)
关键词
动态监测
遥感
信息处理
陆面演变
remote sensing
terrestrial surface evolution(TSE)
dynamic monitoring
principal component analysis(PCA)