摘要
遥感影像的光谱特征和空间纹理特征是提取沙地信息的关键因素,数据融合可以弥补二者的不足。利用主成分变换、乘积变换和比值变换3种不同的融合方法,对Landsat ETM+遥感影像进行自身空间分辨率融合,并对融合结果进行主观目视判读评价和客观数理统计评价。评价结果表明比值法效果最好,光谱失真较小,空间纹理特征明显增强,主成分变换次之,乘积法最差。
The spectral and texture features of remote sensing image are key factors in extracting sandy land. Data fusion can compensate for the lack of image. Principal component, multiplicative and brovey transformations in the fusion images based on ETM＋ images were used to estimate the effect of the fusion images in different ways. The results showed that the Brovey transformation was the best suitable method for ETM＋ image.
出处
《山西农业大学学报（自然科学版）》
CAS
2012年第2期188-192,共5页
Journal of Shanxi Agricultural University(Natural Science Edition)
基金
国家自然科学基金项目(40871133)
关键词
沙地信息提取
影像融合
主成分变换
比值变换
乘积变换
Sandy land information extraction
Image fusion
Principal component transformation
Multiplicative transformation
Brovey transformation
