Publications (11)
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…
Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy
Shubhankar Deshpande, Brian D. Bue, David R. Thompson +2
According to a recent investigation, an estimated 33-50% of the world's coral reefs have undergone degradation, believed to be as a result of climate change. A strong driver of cli…
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…
Perfect Recovery Conditions For Non-Negative Sparse Modeling
Yuki Itoh, Marco F. Duarte, Mario Parente
Sparse modeling has been widely and successfully used in many applications such as computer vision, machine learning, and pattern recognition. Accompanied with those applications,…
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…
An improvement to the volcano-scan algorithm for atmospheric correction of CRISM and OMEGA spectral data
Patrick C. McGuire, Janice L. Bishop, Adrian J. Brown +12
The observations of Mars by the CRISM and OMEGA hyperspectral imaging spectrometers require correction for photometric, atmospheric and thermal effects prior to the interpretation…