In this episode, Robin catches up with Yosef Akhtman to discuss super resolution with satellite imagery. Super resolution is a technique which enables transforming an image with 10m pixels into an image with 1m pixels. While this method has some sceptics, it’s potential to improve analytics on the imagery is undeniable. Note you can also view the video of this recording on YouTube here
Bio: Yosef Akhtman – Independent Researcher with in-depth expertise in Remote Sensing, Earth Observation, Sensor Fusion, Hyperspectral Imaging and Deep Learning. Founder of Gamma Earth – a company focused on Environmental Intelligence solutions, including satellite imaging data enhancement, atmospheric calibration and cloud removal, as well as MineFree and Gamaya – a Swiss startup in the field of smart farming. Before establishing Gamaya, Yosef managed international applied research projects in the UK and Switzerland, spanning the subjects of remote sensing, mobile robotics and environmental monitoring.
Exciting .. looking to take full advantage in 2024 !
For satellite data of 30cm , Maxar gives HD product of 15cm. Anyone have idea what technique they are using for super resolution?
I use entropic force formulation to identify local and integrated forces/dynamics within a cloud cluster assembled by annealing. In essence, it relates the interior structure to a collective purpose. Eg, a cloud cluster has an internal structure to sustain its convection - both vertically and radially. Their cross-product supports a force/motion around the cluster's circumference. (eg rotation in hurricanes and tornadoes etc) No structure is identified/inferred at less than the pixel cut-off length.