摘要
Brovey变换的遥感图像融合方法要求高分辨率全色波段和多光谱波段的光谱响应范围要一致或相近,从而限制了遥感数据的融合,存在着融合图像受噪点影响大、高分辨率影像零星细节保留过多等缺点。文中针对以上问题,引入了小波分析的方法进行改进。首先在小波多分辨率基础上对高分辨率影像进行去噪及边缘增强,然后在小波分析基础上与多光谱影像进行融合。通过实验发现,改进后得到的融合图像与原方法融合图像相比,细节信息更为突出,整体信息更为丰富,基本达到了改进的目的。
Brovey image fusion requires that the range of the respondent spectral band of the high resolution is consistent with or near the one of the multi-spectral image, so it limits the fusion of the RS data and has the deficiencies that fusion image is highly influenced by the noise and the unimportant detail of the high resolution image is overfull reserved. This paper proposes an improved Brovey fusion approach based on the wavelet multi-resolution signal decomposition. In the fusion process of a high resolution image with a multi-spectral image, we use the multi-resolution analyze to remove the noise and enhance the edge information of the high resolution image, then fuse it with the multi-spectral image based on the wavelet transform. At last we do an experiment to show that fused image of the improved method has more grand character and equally abundant compared with the original Brovey fused image.
出处
《测绘学院学报》
北大核心
2004年第2期118-120,共3页
Journal of Institute of Surveying and Mapping
基金
国家自然科学基金资助项目(40071061)
关键词
小波变换
多分辨率分析
图像融合
边缘增强
wavelet transform
multi-resolution analyze
image fusion
edge enhancement
