摘要
运用不同融合方法对无人机高分辨率数据与Landsat8多光谱数据进行融合,并对融合结果进行分析,结果表明:HSV变换、Brovey变换和PC变换融合效果优于其他融合方法,其中HSV变换突出了图像的纹理信息,Brovey变换使图像目视效果较好,光谱保真度高。其他融合方法如GS变换增加了人工用地的信息量,但降低了图像整体清晰程度;CN变换光谱扭曲较大,存在光谱信息损失。
By the image fusion technology, the spectral information of multispectral data of Landsat 8 could transfer to the UAV data, which not only had high spatial resolution but contain higher spectral information. In this paper, different fusion methods were used for image fusion, and analyzed the fu- sion effect. The results show that: the effect of HSV transformation, Brovey transformation and PC transformation was better than other fusion methods. The HSV transformation highlighted the texture in- formation of the image. The Brovey transformation made the visual of image better with higher spectral fidelity. GS transforma.tion improved the information of construction land but reducing the image clarity. CN transformation images reduced some soectral information with larger spectral distortion.
出处
《贵州师范大学学报(自然科学版)》
CAS
2015年第1期13-17,共5页
Journal of Guizhou Normal University:Natural Sciences
基金
贵州省科技攻关项目[黔科合GY字(2006)3022]