6 papers
Single View Geocentric Pose in the Wild
Gordon Christie, Kevin Foster, Shea Hagstrom +2
Current methods for Earth observation tasks such as semantic mapping, map alignment, and change detection rely on near-nadir images; however, often the first available images in re…
Towards Indirect Top-Down Road Transport Emissions Estimation
Ryan Mukherjee, Derek Rollend, Gordon Christie +4
Road transportation is one of the largest sectors of greenhouse gas (GHG) emissions affecting climate change. Tackling climate change as a global community will require new capabil…
Learning Geocentric Object Pose in Oblique Monocular Images
Gordon Christie, Rodrigo Rene Rai Munoz Abujder, Kevin Foster +3
An object's geocentric pose, defined as the height above ground and orientation with respect to gravity, is a powerful representation of real-world structure for object detection,…
Estimating Displaced Populations from Overhead
Armin Hadzic, Gordon Christie, Jeffrey Freeman +5
We introduce a deep learning approach to perform fine-grained population estimation for displacement camps using high-resolution overhead imagery. We train and evaluate our approac…
Semantic Stereo for Incidental Satellite Images
Marc Bosch, Kevin Foster, Gordon Christie +3
The increasingly common use of incidental satellite images for stereo reconstruction versus rigidly tasked binocular or trinocular coincident collection is helping to enable timely…
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery
Marc Bosch, Gordon A. Christie, Christopher M. Gifford
Semantic segmentation is a powerful method to facilitate visual scene understanding. Each pixel is assigned a label according to a pre-defined list of object classes and semantic e…