摘要
主成分变换法在对多波段遥感影像处理过程中具有降维、压缩、影像增强的作用,也可利用其对多时相数据进行处理以自动发现精度不错的土地利用变化信息。结合主成分变换原理和不同的数据处理过程,可以用不同的方式实现土地利用变化信息的自动发现。在对已有方法进行总结分析的基础上,提出了两次主成分变换法进行变化信息自动监测,经验证,该方法在去除影像噪声对监测结果的影响方面具有很好的效果。
The Principal Component Transform has the advantages of decreasing data dimension,compressing and enhancing image in processing multi-band remote sensing image,and it also can be used to process multi-temporal data to automatically detect land using changing information with a good precision.Combining the principle of the Principal Component Transform and various data processing methods,automatic detection of land using changing information can be implemented by different methods.Based on discussing the current methods,the twice Principal Component Transform to automatically detect changing information is put forward in the paper,and it is proved that this method can produce good effect in improving the affect introduced by image noise.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第36期199-202,共4页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:40371098)
关键词
动态监测
遥感
主成分变换
土地利用
dynamic monitoring,remote sensing,Principal Component Transform,land using
