Arun M. Saranathan

Orcid: 0000-0002-8926-1789

According to our database1, Arun M. Saranathan authored at least 12 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Per-Pixel Uncertainty Quantification and Reporting for Satellite-Derived Chlorophyll-a Estimates via Mixture Density Networks.
IEEE Trans. Geosci. Remote. Sens., 2023

Multi-Parameter Retrieval of Water Quality Indicators from Bayesian and Mixture Density Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2020
Implementing New Feature Extraction Techniques for Characterization of Complex Mineral Signatures of Salty Regions on Mars.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
On Clustering and Embedding Mixture Manifolds Using a Low Rank Neighborhood Approach.
IEEE Trans. Geosci. Remote. Sens., 2019

New CRISM Data Products for Improved Characterization and Analysis of the Mars2020 Landing Site.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2016
Uniformity-Based Superpixel Segmentation of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2016

On Clustering and Embedding Manifolds using a Low Rank Neighborhood Approach.
CoRR, 2016

Unmixing multiple intimate mixtures via a locally low-rank representation.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015
Simultaneous clustering and embedding for multiple intimate mixtures.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Unmixing multiple intimate mixtures using manifold clustering.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013
Threshold based segmentation method for hyperspectral images.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Endmember detection using graph theory.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013


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