Mario Parente

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images.

[BibT_eX]

[DOI]

Erik G. Learned-Miller

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Sparse Unmixing of Hyperspectral Data: The Legacy of SUnSAL.

[BibT_eX]

[DOI]

Marian-Daniel Iordache

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Improved Deep Clustering of Mastcam Images Using Metric Learning.

[BibT_eX]

[DOI]

Tejas Panambur

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Classification of Martian Terrains via Deep Clustering of Mastcam Images.

[BibT_eX]

[DOI]

Tejas Panambur

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Implementing New Feature Extraction Techniques for Characterization of Complex Mineral Signatures of Salty Regions on Mars.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

On Clustering and Embedding Mixture Manifolds Using a Low Rank Neighborhood Approach.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Nonlinear Hyperspectral Unmixing With Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy.

[BibT_eX]

[DOI]

CoRR, 2019

New CRISM Data Products for Improved Characterization and Analysis of the Mars2020 Landing Site.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2017

Perfect Recovery Conditions for Non-negative Sparse Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Estimation of the Number of Endmembers in a Hyperspectral Image via the Hubness Phenomenon.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Hyperspectral Band Selection From Statistical Wavelet Models.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation.

[BibT_eX]

[DOI]

CoRR, 2017

Unmixing in the presence of nuisances with deep generative models.

[BibT_eX]

[DOI]

Ian Gemp

Ishan P. Durugkar

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Sparse unmixing with adaptive background.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Pixel purity vertex component analysis.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Estimation of the Intrinsic Dimensionality in Hyperspectral Imagery via the Hubness Phenomenon.

[BibT_eX]

[DOI]

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016

Uniformity-Based Superpixel Segmentation of Hyperspectral Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2016

On Clustering and Embedding Manifolds using a Low Rank Neighborhood Approach.

[BibT_eX]

[DOI]

CoRR, 2016

Deep Generative Models for Spectroscopic Analysis on Mars.

[BibT_eX]

[DOI]

CoRR, 2016

Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination.

[BibT_eX]

[DOI]

CoRR, 2016

Unmixing multiple intimate mixtures via a locally low-rank representation.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Estimation of the number of endmembers via the hubness phenomenon.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Band selection from statistical wavelet models.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

On the performance of sparse unmixing on non-linear mixtures.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Performance guarantees for sparse regression-based unmixing.

[BibT_eX]

[DOI]

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Simultaneous clustering and embedding for multiple intimate mixtures.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures.

[BibT_eX]

[DOI]

Siwei Feng

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

A Review of Nonlinear Hyperspectral Unmixing Methods.

[BibT_eX]

[DOI]

Paul D. Gader

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Unmixing multiple intimate mixtures using manifold clustering.

[BibT_eX]

[DOI]

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Hyperspectral unmixing via semantic spectral representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014

Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Threshold based segmentation method for hyperspectral images.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Graph-based identification of boundary points for unmixing and anomaly detection.

[BibT_eX]

[DOI]

Neda Rohani

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

A new semantic wavelet-based spectral representation.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Endmember detection using graph theory.

[BibT_eX]

[DOI]

Neda Rohani

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Non-homogeneous hidden Markov chain models for wavelet-based hyperspectral image processing.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

2011

Robust unmixing of hyperspectral images: Application to Mars.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

End-to-End Simulation and Analytical Model of Remote-Sensing Systems: Application to CRISM.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2010

Survey of geometric and statistical unmixing algorithms for hyperspectral images.

[BibT_eX]

[DOI]

Antonio J. Plaza

Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

2009

Simulation of the image generation process for CRISM spectrometer data.

[BibT_eX]

[DOI]

Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Deconvolution of VNIR spectra using modified Gaussian modeling (MGM) with automatic parameter initialization (API) applied to CRISM.

[BibT_eX]

[DOI]

Heather D. Makarewicz