摘要
在ERDAS软件支持下,对ETM遥感影像数据的TM1—TM5,TM7与其全色波段TM8进行小波变换融合,对融合后的影像采用混合分类方法进行土地利用分类。并对其分类结果进行评价,总体精度达到95.43%,研究结果表明此方法可行有效。
With ERDAS software, this article carries on the wavelet transformation fusion with ETM remote sensing image data TM1 TMS, TM7 and panchromatic wave band TM8, then uses the mix classification method to carry on the land utilization classification after the image fusing in the end. It evaluates the results, showing the overall precision achieves 95.43%. The results by this method is available and efficient .
出处
《陕西地质》
2007年第2期91-98,共8页
Geology of Shaanxi
基金
昆明理工大学研究生创新基金项目(YB06005)
关键词
遥感
ETM影像
小波变换
遥感影像融合
图像分类
remote sensing
ETM remote sensing
wavelet transform
image fusion
image classification
