低空无人机影像与资源3号影像常规融合评价

Quality Analysis on Conventional Fusion of UAV Low-Altitude and ZY-3 Image

低空无人机与星载遥感影像融合具有重要价值,可获得兼具极高分辨率和多/高光谱特性的影像。为比较不同融合方法的效果,分别采用Brovey变换、HSV变换、PC Spectral锐化、Color Normalized锐化、PCA融合、乘法变换和小波融合7种影像融合方法进行融合试验,以南昌某地区的资源3号多光谱影像和低空无人机航拍影像作为融合数据,依据定性和定量评价指标对融合结果进行质量评价。实验结果表明,针对资源3号卫星数据与低空无人机数据的融合,综合光谱保真度、空间细节表达以及目视结果三方面比较,Brovey变换和PCA融合融合方法的效果较好。

Low-altitude unmanned aerial vehicles(UAV)and satellite-based remote sensing image fusion has important value,and they can obtain both high resolution and multi/high spectral characteristics of the image.In order to compare the effect of different fusion methods,this paper uses seven kinds of image fusion methods to test,the Brovey transform,HSV transform,PC Spectral sharpening,Color Normalized sharpening,PCA fusion,multiplication transformation and wavelet fusion.The fusion experiment with a region of Nanchang of ZY3 multi spectral image and low altitude UAV aerial images as a fusion of data,according to qualitative and quantitative evaluation index to evaluate the quality of the fusion results.The experimental results show that the fusion method of Brovey transform and PCA fusion is better for the data fusion of ZY-3 satellite and low-altitude unmanned aerial vehicle from the aspects of spectral fidelity,spatial detail expression and visual results.