Deep Learning for Image Matching and Co‐registration
Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Nikos Paragios · 2021
In this chapter, a comprehensive survey of recent advances in image matching and registration is presented. The analysis is structured around the main components of these algorithms, presenting some recent works for both supervised and unsupervised settings, focusing mainly within Earth observation applications. Experimental results from a recently proposed deep learning-based method are presented. Based on the current status, the recent works, and the special challenges of these algorithms, the present study highlights certain limitations and insights that may be applicable for future research and development in the field of Earth observation with high-dimensional, multi-temporal, and multimodal datasets.