Highlights results from The SpaceNet Challenge: Round 4, Off-Nadir Building Footprint Extraction. The winning solutions represented a 1.5-fold improvement over the initial baseline model’s performance.
Commercial Space
Giving SIMRDWN a Spin, Part I
The SIMRDWN framework extends popular object detection algorithms to operate in the overhead imagery domain. This blog discusses training a model to detect cars in overhead images.
Super-Resolution and Object Detection: A Love Story- Part 4
A deeper dive into CosmiQ’s study on super-resolution and object detection performance class specific results.
Super-Resolution and Object Detection: A Love Story- Part 3
Part 3 of a discussion about an introductory outline for some of our work in exploring the relationships between super-resolution (SR) and object detection algorithms in satellite imagery.
Challenges with SpaceNet 4 off-nadir satellite imagery: Look angle and target azimuth angle
Part 3 of a series about the SpaceNet 4: Off-Nadir Dataset and Building Detection Challenge.
Super-Resolution and Object Detection: A Love Story- Part 2
Part 2 of a discussion about an introductory outline for some of our work in exploring the relationships between super-resolution (SR) and object detection algorithms in satellite imagery.