Deep Learning-based Multispectral and Panchromatic Remote Sensing Image Fusion Methods
Multispectral(MS)remote sensing image has rich spectral information,but its spatial resolution is relatively low.By contrast,panchromatic(PAN)remote sensing image has high spatial resolution,but lacks spectral information.In practice,a fused image can be obtained by integrating the information of MS with that of PAN via image fusion technology,and the fused image contains both rich spectral information and high spatial resolution.In other words,the fused image has the complementary information coming from the MS and PAN remote sensing images,and is more suitable for down-stream vision tasks.With the rise of deep learning and its wide applications in the field of computer vision,researchers have developed numerous deep learning-based methods for image fusion tasks in the past few years.However,the survey works on MS and PAN image fusion are rarely reported in Chinese journals.To this end,according to the different learning manner of network models,this paper classifies,analyzes,and summarizes the deep learning-based methods for MS and PAN remote sensing image fusion.In addition,this paper puts forward some possible future research directions related to deep learning-based MS and PAN remote sensing image fusion.
NETL
NSTL
万方数据
