多源图像融合技术在无人机中的应用

随着无人机技术的发展,无人机多源图像融合是一个日益受到关注的研究领域。在研究传统算法的基础上,针对经典HIS变换融合算法产生的光谱失真问题,通过引入压缩感知技术对传统算法进行改进,提出了一种融入压缩感知技术的图像融合算法并应用到无人机数码照片和SAR图像融合处理中。实验表明,该方法在引入SAR图像纹理信息的同时,能够有效保持可见光图像光谱信息,取得了较好的融合效果。

Application of Multi-source Image Fusion Technology in Unmanned Aerial Vehicle

With the development of UAV technology, the multi-source image fusion in UAV has attracted more and more attention. On the basis of traditional algorithms,an image fusion algorithm incorporating compressed sensing technology is proposed to solve the problem of spectral distortion caused by the classical HIS transform fusion algorithm. By introducing compressed sensing technology,the traditional algorithm is improved. The image fusion algorithm is applied to the fusion of UAV digital photos and SAR images. The experiment results show that this method can effectively preserve the spectral information of visible light image while introducing texture information of SAR image,and achieve good fusion effect.