URsNet: Unsupervised Remote Sensing Stitching Network for Low-Altitude UAV Images
Traditional feature-based image stitching methods depend heavily on the quality of feature matching, which leads to suboptimal performance when applied to drone remote sensing images with significant differences in viewpoint and depth of field. Concurrently, supervised learning paradigms have proven infeasible due to t...