23 citations · 35 across the 15 of their papers we have counts for
3 papers · 2 filters
Aerial Spectral Super-Resolution using Conditional Adversarial Networks
Aneesh Rangnekar, Nilay Mokashi, Emmett Ientilucci +2
Inferring spectral signatures from ground based natural images has acquired a lot of interest in applied deep learning. In contrast to the spectra of ground based images, aerial sp…
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Hyperspectral imaging holds enormous potential to improve the state-of-the-art in aerial vehicle tracking with low spatial and temporal resolutions. Recently, adaptive multi-modal…
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps
Burak Uzkent, Aneesh Rangnekar, M. J. Hoffman
Hyperspectral cameras can provide unique spectral signatures for consistently distinguishing materials that can be used to solve surveillance tasks. In this paper, we propose a nov…