There is no data like more data -- current status of machine learning datasets in remote sensing
arXiv:2105.11726
Abstract
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.
accepted for the Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021