Coupling of deep learning and remote sensing: a comprehensive systematic literature review

This study is conducted in accordance with a systematic literature review (SLR) protocol. SLR is tasked with finding publications, publishers, deep learning types, enhanced and adapted deep learning techniques, impacts, proactive approaches, key parameters, and applications in the field of remote sensing. It is also expected to identify current research directions, gaps, and unsolved issues in order to provide understanding and recommendations for future studies. The data is collected from important research papers published in recognized journals between the years 2015 and 2021, however, conference/seminar proceedings and other online resources are excluded to minimize unnecessary complications. Based on previously established exclusion, inclusion, and quality parameter criteria, a total of 122 primary studies are considered. The literature review overcomes a number…