Perspective-Equivariant Imaging: an Unsupervised Framework for Multispectral Pansharpening

arXiv:2403.09327v1 Announce Type: new
Abstract: Ill-posed image reconstruction problems appear in many scenarios such as remote sensing, where obtaining high quality images is crucial for environmental monitoring, disaster management and urban planning. Deep learning has seen great success in overcoming the limitations of traditional methods. However, these inverse problems rarely come with ground truth data, highlighting the importance of unsupervised learning from partial and noisy measurements alone. We propose perspective-equivariant imaging (EI), a framework that leverages perspective variability in optical …

arxiv cs.cv eess.iv framework imaging perspective type unsupervised