no code implementations • 8 Nov 2023 • Gulsen Taskin, Erchan Aptoula, Alp Ertürk
Deep learning has taken by storm all fields involved in data analysis, including remote sensing for Earth observation.
no code implementations • 30 Oct 2023 • Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gulsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hansch
We hope to contribute to an understanding that the nature of our data is what distinguishes the Earth observation community from many other communities that apply deep learning techniques to image data, and that a detailed understanding of EO data peculiarities is among the core competencies of our discipline.
no code implementations • 29 Nov 2021 • Gulsen Taskin, Gustau Camps-Valls
Learning the manifold structure of remote sensing images is of paramount relevance for modeling and understanding processes, as well as to encapsulate the high dimensionality in a reduced set of informative features for subsequent classification, regression, or unmixing.