activity
20172023
most citedExtreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification

36 citations · 61 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2023★ 20 cited

Space Object Identification and Classification from Hyperspectral Material Analysis

Massimiliano Vasile, Lewis Walker, Andrew Campbell +4

This paper presents a data processing pipeline designed to extract information from the hyperspectral signature of unknown space objects. The methodology proposed in this paper det…

eess.IV2023

Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution

Alexander Ulrichsen, Paul Murray, Stephen Marshall +4

Hyperspectral Imaging is a crucial tool in remote sensing which captures far more spectral information than standard color images. However, the increase in spectral information com…

eess.IV2021

Compressive Sampling Using a Pushframe Camera

Stuart Bennett, Yoann Noblet, Paul F. Griffin +4

The recently described pushframe imager, a parallelized single pixel camera capturing with a pushbroom-like motion, is intrinsically suited to both remote-sensing and compressive s…

eess.IV2020★ 5 cited

Compact Multi-Spectral Pushframe Camera for Nano-Satellites

Yoann Noblet, Stuart Bennett, Paul F. Griffin +5

In this paper we present an evolution of the single-pixel camera architecture, called 'pushframe', which addresses the limitations of pushbroom cameras in space-based applications.…

cs.CV2017★ 36 cited

Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification

Faxian Cao, Zhijing Yang, Jinchang Ren +1

Although the sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional feature…