Pattathal V. Arun

Orcid: 0000-0002-8624-5708

Affiliations:
  • Ben Gurion University of the Negev, Swiss Institute for Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Israel
  • Indian Institute of Information Technology, Centre of Studies in Resources Engineering, CSRE, Sri City, Chittoor, India (PhD 2020)


According to our database1, Pattathal V. Arun authored at least 22 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
Modelling Spectral Unmixing of Geological Mixtures: An Experimental Study Using Rock Samples.
Remote. Sens., July, 2023

Spectral Unmixing in Generative Space: 3D-GAN Based Approach.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Modeling Spectral Mixing for Geological Mixtures: Detecting Nonlinearly Mixed Pixels in Hyperspectral Image of Banded Hematite Quartzite.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Graph Neural Network Based Interpretable Spectral Unmixing for Hyperspectral Unmixing Hyperspectral IIRS Data Onboard Chandrayaan-2 Mission.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Augmentation of Vegetation Index Curves Considering the Crop-Specific Phenological Characteristics.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Learning of physically significant features from earth observation data: an illustration for crop classification and irrigation scheme detection.
Neural Comput. Appl., 2022

Multimodal Earth observation data fusion: Graph-based approach in shared latent space.
Inf. Fusion, 2022

Deep feature learning and latent space encoding for crop phenology analysis.
Expert Syst. Appl., 2022

2021
Deep Learning-Based Phenological Event Modeling for Classification of Crops.
Remote. Sens., 2021

Support Vector Machines for Unmixing Geological Mixtures.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

2020
CNN-Based Super-Resolution of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020

CNN based spectral super-resolution of remote sensing images.
Signal Process., 2020

2019
Capsulenet-Based Spatial-Spectral Classifier for Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images.
Pattern Recognit., 2019

Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images.
Comput. Vis. Image Underst., 2019

2018
Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches.
IEEE Geosci. Remote. Sens. Lett., 2018

CNN based sub-pixel mapping for hyperspectral images.
Neurocomputing, 2018

Analysis of capsulenets towards hyperspectral classification.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Inversion of Deep Networks for Modelling Variations in Spatial Distributions of Land Cover Classes Across Scales.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
Integration of contextual knowledge in unsupervised sub-pixel classification.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

A deep learning based spatial dependency modelling approach towards super-resolution.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Classification and clustering perspective towards spectral unmxing.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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