no code implementations • 31 May 2024 • Pedram Ghamisi, Weikang Yu, Andrea Marinoni, Caroline M. Gevaert, Claudio Persello, Sivasakthy Selvakumaran, Manuela Girotto, Benjamin P. Horton, Philippe Rufin, Patrick Hostert, Fabio Pacifici, Peter M. Atkinson
The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities.
1 code implementation • 18 Apr 2024 • Weikang Yu, Xiaokang Zhang, Samiran Das, Xiao Xiang Zhu, Pedram Ghamisi
Change detection (CD) from remote sensing (RS) images using deep learning has been widely investigated in the literature.
1 code implementation • 31 Jul 2023 • Weikang Yu, Yonghao Xu, Pedram Ghamisi
Deep neural networks (DNNs) have risen to prominence as key solutions in numerous AI applications for earth observation (AI4EO).
no code implementations • 19 Dec 2022 • Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi
Recent advances in artificial intelligence (AI) have significantly intensified research in the geoscience and remote sensing (RS) field.
1 code implementation • 8 Aug 2022 • Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter
To better evaluate the realism and semantic consistency of the generated images, we further conduct zero-shot classification on real remote sensing data using the classification model trained on synthesized images.