14 citations · 48 across the 33 of their papers we have counts for
5 papers · 1 filter
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
Daniele Rege Cambrin, Isaac Corley, Paolo Garza
Estimating global tree canopy height is crucial for forest conservation and climate change applications. However, capturing high-resolution ground truth canopy height using LiDAR i…
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking
Daniele Rege Cambrin, Isaac Corley, Paolo Garza +1
Earthquakes are commonly estimated using physical seismic stations, however, due to the installation requirements and costs of these stations, global coverage quickly becomes impra…
Barely-Visible Surface Crack Detection for Wind Turbine Sustainability
Sourav Agrawal, Isaac Corley, Conor Wallace +2
The production of wind energy is a crucial part of sustainable development and reducing the reliance on fossil fuels. Maintaining the integrity of wind turbines to produce this ene…
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
In recent years, there has been an explosion of proposed change detection deep learning architectures in the remote sensing literature. These approaches claim to offer state-of-the…
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
Caleb Robinson, Isaac Corley, Anthony Ortiz +3
Fully understanding a complex high-resolution satellite or aerial imagery scene often requires spatial reasoning over a broad relevant context. The human object recognition system…