Overhead satellite imagery provides critical time-sensitive information for use areas like disaster response, navigation, and security. Most current methods for using aerial imagery assume images are taken from directly overhead, or “near-nadir”. However, the first images available are often taken from an angle, or are “oblique”. Effects from these camera orientations complicate useful tasks like change detection, vision-aided navigation, and map alignment.
In this challenge, your goal is to make satellite imagery taken from an angle more useful for time-sensitive applications like disaster and emergency response.
To take on the challenge, you will transform RGB images taken from a satellite to more accurately determine each object’s real-world structure or “geocentric pose”. Geocentric pose is an object’s height above the ground and its orientation with respect to gravity. Calculating geocentric pose helps with detecting and classifying objects and determining object boundaries.
By contributing to this challenge, you can help advance state-of-the-art methods for using and understanding satellite imagery. On your marks, get set, pose!
Awards:- $50,000 Prize Purse