adverse atmospheric conditions are a given and are outside of human control
Bad weather in - bad insights out
machine learning workflow optimization is the aerial imaging value frontier
Vast amount of geospatial and aerial imagery has been collected and continues to be generated daily. The image acquisition,
storage and transmission constraints, particularly for mission-critical applications, require robust end-to-end optimization.
Our ability to effectively extract deep, actionable planetary scale insights is key to driving real outcomes in addressing sustainable development goals.
S. A. Hovhannisyan, H. A. Gasparyan, S. S. Agaian and A. Ghazaryan, "AED-Net: A single image dehazing," in IEEE Access, doi: 10.1109/ACCESS.2022.3144402. (Published in Jan. 2022)
H. A. Gasparyan, S. A. Hovhannisyan, S. V. Babayan, and S. S. Agaian, "Iterative Retinex-Based Decomposition Framework for Low Light Visibility Restoration," in IEEE Access, doi: 10.1109/ACCESS.2023.3269719. (Published in April 2023)
