Publications
Showing 52 results for Author: Lexie Yang
Sep, 2025
Book Chapter
Modern Programming Libraries and Infrastructures for Raster Data Analysis
This topic entry outlines the recent advances and the transformative integration of artificial intelligence with geospatial science, focusing on modern programming libraries and infrastructures for raster data analysis. We explain how the convergence of AI and geospatial technologies has revolutionized Earth observation analysis through advanced machine learning algorithms…
Jun, 2024
Journal
A baseline structure inventory with critical attribution for the US and its territories
Leveraging high performance computing, remote sensing, geographic data science, machine learning, and computer vision, Oak Ridge National Laboratory has partnered with Federal Emergency Management Agency (FEMA) to build a baseline structure inventory covering the US and its territories to support disaster preparedness, response, and recovery. The dataset contains more than…
May, 2024
Journal
Boundary-Aware Adversarial Learning Domain Adaption and Active Learning for Cross-Sensor Building Extraction
The use of convolutional neural networks (CNNs) for building extraction from remote sensing images has been widely studied and many public datasets have been made available for accelerating development of these CNN models. Yet adapting pretrained models at scale in real-world scenarios remains a challenging task. The main barrier is that certain new labels are still needed…
Dec, 2023
Journal
UAS Edge Computing of Energy Infrastructure Damage Assessment
Energy infrastructure assessments are needed within 72 hours of natural disasters, and previous data collection methods have proven too slow. We demonstrate a scalable end-to-end solution using a prototype unmanned aerial system that performs on-the-edge detection, classification (i.e., damaged or undamaged), and geo-location of utility poles. The prototype is suitable for…