23 citations · 29 across the 2 of their papers we have counts for
2 papers
cs.CV2017★ 23 cited
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…
cs.CV2017★ 6 cited
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…