Search Results for author:
Found 4 papers, 0 papers with code
Atmospheric Turbulence Removal with Video Sequence Deep Visual Priors
Atmospheric turbulence poses a challenge for the interpretation and visual perception of visual imagery due to its distortion effects.
Semantic Image Fusion
The developed methods are able to give equivalent low-level fusion performance to state of the art methods while providing a unique architecture to combine semantic information from multiple images.
Transform and Bitstream Domain Image Classification
Classification of images within the compressed domain offers significant benefits.
HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Harmful Algal Blooms
This paper describes the application of machine learning techniques to develop a state-of-the-art detection and prediction system for spatiotemporal events found within remote sensing data; specifically, Harmful Algal Bloom events (HABs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
