Search Results for author: Nilay Mokashi

Found 2 papers, 1 papers with code

AeroRIT: A New Scene for Hyperspectral Image Analysis

2 code implementations17 Dec 2019 Aneesh Rangnekar, Nilay Mokashi, Emmett Ientilucci, Christopher Kanan, Matthew J. Hoffman

We investigate applying convolutional neural network (CNN) architecture to facilitate aerial hyperspectral scene understanding and present a new hyperspectral dataset-AeroRIT-that is large enough for CNN training.

Hyperspectral image analysis Image Super-Resolution +4

Aerial Spectral Super-Resolution using Conditional Adversarial Networks

no code implementations23 Dec 2017 Aneesh Rangnekar, Nilay Mokashi, Emmett Ientilucci, Christopher Kanan, Matthew Hoffman

In contrast to the spectra of ground based images, aerial spectral images have low spatial resolution and suffer from higher noise interference.

Spectral Super-Resolution Super-Resolution

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