Mario Parente

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 27

Top Topics

Hyperspectral Data

Semantic Representation

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Tejas Panambur, Mario Parente
Improved Self-Supervised Texture Recognition of Mastcam Images by Eliminating Mixed Terrain and Range Patches. IGARSS (2023)
Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. CVPR Workshops (2022)
Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. CoRR (2022)
Mario Parente, Marian-Daniel Iordache
Sparse Unmixing of Hyperspectral Data: The Legacy of SUnSAL. IGARSS (2021)
Tejas Panambur, Mario Parente
Improved Deep Clustering of Mastcam Images Using Metric Learning. IGARSS (2021)
Mario Parente, Tejas Panambur
Classification of Martian Terrains via Deep Clustering of Mastcam Images. IGARSS (2020)
Rob Heylen, Vera Andrejchenko, Zohreh Zahiri, Mario Parente, Paul Scheunders
Nonlinear Hyperspectral Unmixing With Graphical Models. IEEE Trans. Geosci. Remote. Sens. 57 (7) (2019)
Arun M. Saranathan, Mario Parente
On Clustering and Embedding Mixture Manifolds Using a Low Rank Neighborhood Approach. IEEE Trans. Geosci. Remote. Sens. 57 (6) (2019)
Shubhankar Deshpande, Brian D. Bue, David R. Thompson, Vijay Natraj, Mario Parente
Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy. CoRR (2019)
Mario Parente, Yuki Itoh, Arun M. Saranathan
New CRISM Data Products for Improved Characterization and Analysis of the Mars2020 Landing Site. IGARSS (2019)
Mario Parente, Ian Gemp, Ishan P. Durugkar
Unmixing in the presence of nuisances with deep generative models. IGARSS (2017)
Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation. IEEE Trans. Geosci. Remote. Sens. 55 (6) (2017)
Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation. CoRR (2017)
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
Hyperspectral Band Selection From Statistical Wavelet Models. IEEE Trans. Geosci. Remote. Sens. 55 (4) (2017)
Yuki Itoh, Mario Parente
Sparse unmixing with adaptive background. IGARSS (2017)
Rob Heylen, Mario Parente, Paul Scheunders
Pixel purity vertex component analysis. IGARSS (2017)
Yuki Itoh, Marco F. Duarte, Mario Parente
Perfect Recovery Conditions for Non-negative Sparse Modeling. IEEE Trans. Signal Process. 65 (1) (2017)
Rob Heylen, Mario Parente, Paul Scheunders
Estimation of the Intrinsic Dimensionality in Hyperspectral Imagery via the Hubness Phenomenon. LVA/ICA (2017)
Rob Heylen, Mario Parente, Paul Scheunders
Estimation of the Number of Endmembers in a Hyperspectral Image via the Hubness Phenomenon. IEEE Trans. Geosci. Remote. Sens. 55 (4) (2017)
Yuki Itoh, Mario Parente
On the performance of sparse unmixing on non-linear mixtures. IGARSS (2016)
Arun M. Saranathan, Mario Parente
On Clustering and Embedding Manifolds using a Low Rank Neighborhood Approach. CoRR (2016)
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
Band selection from statistical wavelet models. WHISPERS (2016)
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination. CoRR (2016)
Arun M. Saranathan, Mario Parente
Unmixing multiple intimate mixtures via a locally low-rank representation. WHISPERS (2016)
Arun M. Saranathan, Mario Parente
Uniformity-Based Superpixel Segmentation of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54 (3) (2016)
Rob Heylen, Mario Parente, Paul Scheunders
Estimation of the number of endmembers via the hubness phenomenon. WHISPERS (2016)
Ian Gemp, Ishan P. Durugkar, Mario Parente, Melinda Darby Dyar, Sridhar Mahadevan
Deep Generative Models for Spectroscopic Analysis on Mars. CoRR (2016)
Yuki Itoh, Marco F. Duarte, Mario Parente
Perfect Recovery Conditions For Non-Negative Sparse Modeling. CoRR (2015)
Siwei Feng, Marco F. Duarte, Mario Parente
Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. CVPR Workshops (2015)
Arun M. Saranathan, Mario Parente
Simultaneous clustering and embedding for multiple intimate mixtures. IGARSS (2015)
Yuki Itoh, Marco F. Duarte, Mario Parente
Performance guarantees for sparse regression-based unmixing. WHISPERS (2015)
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification. ICIP (2014)
Rob Heylen, Mario Parente, Paul D. Gader
A Review of Nonlinear Hyperspectral Unmixing Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (6) (2014)
Arun M. Saranathan, Mario Parente
Unmixing multiple intimate mixtures using manifold clustering. WHISPERS (2014)
Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
Hyperspectral unmixing via semantic spectral representations. MWSCAS (2014)
Marco F. Duarte, Mario Parente
Non-homogeneous hidden Markov chain models for wavelet-based hyperspectral image processing. Allerton (2013)
Neda Rohani, Mario Parente, Arun M. Saranathan
Endmember detection using graph theory. IGARSS (2013)
Arun M. Saranathan, Mario Parente
Threshold based segmentation method for hyperspectral images. WHISPERS (2013)
Neda Rohani, Mario Parente
Graph-based identification of boundary points for unmixing and anomaly detection. WHISPERS (2013)
Mario Parente, Marco F. Duarte
A new semantic wavelet-based spectral representation. WHISPERS (2013)
José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul D. Gader, Jocelyn Chanussot
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (2) (2012)
Mario Parente, John F. Mustard, Scott L. Murchie, Frank P. Seelos
Robust unmixing of hyperspectral images: Application to Mars. IGARSS (2011)
Mario Parente, J. Trevor Clark, Adrian J. Brown, Janice L. Bishop
End-to-End Simulation and Analytical Model of Remote-Sensing Systems: Application to CRISM. IEEE Trans. Geosci. Remote. Sens. 48 (11) (2010)
Mario Parente, Antonio J. Plaza
Survey of geometric and statistical unmixing algorithms for hyperspectral images. WHISPERS (2010)
Heather D. Makarewicz, Mario Parente, Janice L. Bishop
Deconvolution of VNIR spectra using modified Gaussian modeling (MGM) with automatic parameter initialization (API) applied to CRISM. WHISPERS (2009)
Mario Parente, J. Trevor Clark, Adrian J. Brown, Janice L. Bishop
Simulation of the image generation process for CRISM spectrometer data. WHISPERS (2009)