Alok Porwal

According to our database, Alok Porwal authored at least 27 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Internal Representations of Model for Magnetic Image Classification.

Adarsh N. L, Arun P. V., Alok Porwal, Malcolm Aranha

CoRR, 2024

Open-Set Identification of Minerals From CRISM Hyperspectral Data.

Sandeepan Dhoundiyal, Moni Shankar Dey, Shashikant Singh, Pattathal V. Arun, Guneshwar Thangjam, Alok Porwal

Proceedings of the IGARSS 2024, 2024

2023

Modelling Spectral Unmixing of Geological Mixtures: An Experimental Study Using Rock Samples.

Maitreya Mohan Sahoo, R. Kalimuthu, Pattathal V. Arun, Alok Porwal, Shibu K. Mathew

Remote. Sens., July, 2023

Spectral Unmixing in Generative Space: 3D-GAN Based Approach.

Soorya Suresh, Pattathal V. Arun, Alok Porwal

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Efficient Graph Formulation and Latent Space Integration for Lunar Hyperspectral Image Classification.

Akhil Galla, Samrat B, Nithish Reddy Banda, Arun P. V., Alok Porwal

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

An adaptive deep denoising approach for Chandrayaan-2 IIRS Data with SURE Loss.

Samrat B, Nithish Reddy Banda, Akhil Galla, Arun P. V., Alok Porwal

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.

Maitreya Mohan Sahoo, R. Kalimuthu, Pattathal V. Arun, Shibu K. Mathew, Alok Porwal

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.

Pattathal V. Arun, Maitreya Mohan Sahoo, Alok Porwal

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

2022

Multimodal Earth observation data fusion: Graph-based approach in shared latent space.

Pattathal V. Arun, Roy Sadeh, Asaf Avneri, Yaniv Tubul, Carlos Camino, Krishna Mohan Buddhiraju, Alok Porwal, Ran Nisim Lati, Pablo J. Zarco-Tejada, Zvi Peleg, Ittai Herrmann

Inf. Fusion, 2022

2021

Support Vector Machines for Unmixing Geological Mixtures.

Maitreya Mohan Sahoo, Pattathal V. Arun, Alok Porwal

Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

2020

CNN-Based Super-Resolution of Hyperspectral Images.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal, Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 2020

CNN based spectral super-resolution of remote sensing images.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal, Jocelyn Chanussot

Signal Process., 2020

Optimized Lithological Mapping from Multispectral and Hyperspectral Remote Sensing Images Using Fused Multi-Classifiers.

Mahendra K. Pal, Thorkild Maack Rasmussen, Alok Porwal

Remote. Sens., 2020

2019

Capsulenet-Based Spatial-Spectral Classifier for Hyperspectral Images.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal

Comput. Vis. Image Underst., 2019

2018

Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal

IEEE Geosci. Remote. Sens. Lett., 2018

CNN based sub-pixel mapping for hyperspectral images.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal

Neurocomputing, 2018

Analysis of capsulenets towards hyperspectral classification.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Sub-Pixel Mapping with Hyperspectral Images Using Super-Resolution.

S. Gaur, Krishna Mohan Buddhiraju, Alok Porwal

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Inversion of Deep Networks for Modelling Variations in Spatial Distributions of Land Cover Classes Across Scales.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Topographic correction using brightness normalization approach from hyperspectral remote sensing images.

Mahendra K. Pal, Alok Porwal

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

2016

Optimizing classification using multi-classifiers for spaceborne hyperspectral dataset.

Mahendra K. Pal, Alok Porwal

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

Integration of contextual knowledge in unsupervised sub-pixel classification.

Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal

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

Vegetation suppression for unveiling of surface lithology from Hyperspectral images using linear spectral unmixing approach.

Mahendra K. Pal, Alok Porwal

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

2015

Destriping of Hyperion images using low-pass-filter and local-brightness-normalization.

Mahendra K. Pal, Alok Porwal

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

2012

Towards automatic lithological classification from remote sensing data using support vector machines.

Le Yu, Alok Porwal, Eun-Jung Holden, Michael Dentith

Comput. Geosci., 2012

2006

Bayesian network classifiers for mineral potential mapping.

Alok Porwal, Emmanuel John M. Carranza, M. Hale

Comput. Geosci., 2006