Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing

arXiv:2401.07782v2 Announce Type: replace-cross
Abstract: Self-supervised learning through masked autoencoders (MAEs) has recently attracted great attention for remote sensing (RS) image representation learning, and thus embodies a significant potential for content-based image retrieval (CBIR) from ever-growing RS image archives. However, the existing studies on MAEs in RS assume that the considered RS images are acquired by a single image sensor, and thus are only suitable for uni-modal CBIR problems. The effectiveness of MAEs for cross-sensor CBIR, which aims to search …

arxiv autoencoders cs.cv eess.iv image retrieval sensing sensor type