Search Results for author:
Found 5 papers, 2 papers with code
Responsible AI for Earth Observation
The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities.
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
Change detection (CD) from remote sensing (RS) images using deep learning has been widely investigated in the literature.
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
Deep neural networks (DNNs) have risen to prominence as key solutions in numerous AI applications for earth observation (AI4EO).
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Recent advances in artificial intelligence (AI) have significantly intensified research in the geoscience and remote sensing (RS) field.
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
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.
