Verification of Sky Models for Image Calibration. - Rishi Ramakrishnan; Juan I. Nieto 001; Steve Scheding (ICCV Workshops, 2013)

Combining strong features for registration of hyperspectral and lidar data from field-based platforms. - Sildomar T. Monteiro; Juan I. Nieto 001; Richard J. Murphy; Rishi Ramakrishnan; Zachary Taylor (IGARSS, 2013)

Shadow compensation for outdoor perception. - Rishi Ramakrishnan; Juan I. Nieto 001; Steve Scheding (ICRA, 2015)

Illumination Invariant Outdoor Perception. - Rishi Ramakrishnan (2016)

Hyperspectral CNN Classification with Limited Training Samples. - Lloyd Windrim; Rishi Ramakrishnan; Arman Melkumyan; Richard J. Murphy (BMVC, 2017)

Convolutional neural networks for passive monitoring of a shallow water environment using a single sensor. - Eric L. Ferguson; Rishi Ramakrishnan; Stefan B. Williams; Craig T. Jin (ICASSP, 2017)

Pretraining for Hyperspectral Convolutional Neural Network Classification. - Lloyd Windrim; Arman Melkumyan; Richard J. Murphy; Anna Chlingaryan; Rishi Ramakrishnan (IEEE Trans. Geosci. Remote. Sens., 2018)

A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images. - Lloyd Windrim; Rishi Ramakrishnan; Arman Melkumyan; Richard J. Murphy (IEEE Trans. Image Process., 2018)

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders. - Lloyd Windrim; Rishi Ramakrishnan; Arman Melkumyan; Richard J. Murphy; Anna Chlingaryan (Remote. Sens., 2019)