214 citations · 251 across the 14 of their papers we have counts for
4 papers · 1 filter
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images
Tejas Panambur, Deep Chakraborty, Melissa Meyer +3
Automatic terrain recognition in Mars rover images is an important problem not just for navigation, but for scientists interested in studying rock types, and by extension, conditio…
Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation
Yuki Itoh, Siwei Feng, Marco F. Duarte +1
This paper proposes a new hyperspectral unmixing method for nonlinearly mixed hyperspectral data using a semantic representation in a semi-supervised fashion, assuming the availabi…
On Clustering and Embedding Mixture Manifolds using a Low Rank Neighborhood Approach
Arun M. Saranathan, Mario Parente
Samples from intimate (non-linear) mixtures are generally modeled as being drawn from a smooth manifold. Scenarios where the data contains multiple intimate mixtures with some cons…
Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination
Siwei Feng, Yuki Itoh, Mario Parente +1
Hyperspectral signature classification is a quantitative analysis approach for hyperspectral imagery which performs detection and classification of the constituent materials at the…