There is no data like more data -- current status of machine learning datasets in remote sensing
arXiv:2105.11726v227 citations
Originality Synthesis-oriented
AI Analysis
This work provides a comprehensive overview for researchers and practitioners in remote sensing, but it is incremental as it synthesizes existing knowledge without introducing new methods or data.
The paper reviews the historical development and features of annotated datasets for machine learning in remote sensing, addressing open issues for future improvements.
Annotated datasets have become one of the most crucial preconditions for the development and evaluation of machine learning-based methods designed for the automated interpretation of remote sensing data. In this paper, we review the historic development of such datasets, discuss their features based on a few selected examples, and address open issues for future developments.