19 papers
On the Adversarial Robustness of Remote Sensing Semantic Change Detection
Weikang Yu, Yonghao Xu, Pedram Ghamisi
Semantic change detection (SCD) is a bitemporal dense-prediction task that jointly identifies changed regions and their semantic states before and after change. Unlike single-image…
Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion
Yonghao Xu, Pedram Ghamisi, Qihao Weng
Recent years have witnessed the remarkable success of deep learning in remote sensing image interpretation, driven by the availability of large-scale benchmark datasets. However, t…
Label-Efficient 3D Forest Mapping: Self-Supervised and Transfer Learning for Instance Segmentation, Semantic Segmentation, and Species Classification
Aldino Rizaldy, Fabian Ewald Fassnacht, Ahmed Jamal Afifi +3
Detailed structural and species information on individual tree level is increasingly important to support precision forestry, biodiversity conservation, and provide reference data…
CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications
Zhengchao Chen, Haoran Wang, Jing Yao +5
The automated and intelligent processing of massive remote sensing (RS) datasets is critical in Earth observation (EO). Existing automated systems are normally task-specific, lacki…
Geospatial Foundation Models to Enable Progress on Sustainable Development Goals
Pedram Ghamisi, Weikang Yu, Xiaokang Zhang +5
Foundation Models (FMs) are large-scale, pre-trained artificial intelligence (AI) systems that have revolutionized natural language processing and computer vision, and are now adva…
Automated Road Crack Localization for Spatially Guided Highway Maintenance
Steffen Knoblauch, Ram Kumar Muthusamy, Pedram Ghamisi +1
Highway networks are crucial for economic prosperity. Climate change-induced temperature fluctuations are exacerbating stress on road pavements, resulting in elevated maintenance c…