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Alok Porwal
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2020 – today
- 2024
- [c19]Sandeepan Dhoundiyal, Moni Shankar Dey, Shashikant Singh, Pattathal V. Arun, Guneshwar Thangjam, Alok Porwal:
Open-Set Identification of Minerals From CRISM Hyperspectral Data. IGARSS 2024: 6164-6167 - [c18]Sandeepan Dhoundiyal, Shivam Kumar, Debosmita Paul, Malcolm Aranha, Guneshwar Thangjam, Alok Porwal:
Optimal Feature Selection for Estimating Lunar Soil Maturity from Spectroscopic Data. WHISPERS 2024: 1-4 - [c17]Tarun Patibandla, Arun PV, Alok Porwal:
Efficient Spectral Attention Block for Cascaded Hyperspectral Image Super-Resolution Architectures. WHISPERS 2024: 1-5 - [c16]Soorya Suresh, Arun P. V., Alok Porwal:
Sparse Coding Inspired GAN for Hyperspectral Unmixing. WHISPERS 2024: 1-5 - [c15]Yash Toshniwal, Saransh Vottery, Sandeepan Dhoundiyal, Alok Porwal:
A New Algorithm for Detecting Carbonates Using Crism Hyperspectral Data. WHISPERS 2024: 1-4 - [i1]Adarsh N. L, Arun P. V., Alok Porwal, Malcolm Aranha:
Leveraging Internal Representations of Model for Magnetic Image Classification. CoRR abs/2403.06797 (2024) - 2023
- [j11]Maitreya Mohan Sahoo
, R. Kalimuthu, Pattathal V. Arun, Alok Porwal, Shibu K. Mathew:
Modelling Spectral Unmixing of Geological Mixtures: An Experimental Study Using Rock Samples. Remote. Sens. 15(13): 3300 (2023) - [c14]Pattathal V. Arun, Maitreya Mohan Sahoo
, Alok Porwal:
Graph Neural Network Based Interpretable Spectral Unmixing for Hyperspectral Unmixing Hyperspectral IIRS Data Onboard Chandrayaan-2 Mission. IGARSS 2023: 4202-4205 - [c13]Maitreya Mohan Sahoo
, R. Kalimuthu, Pattathal V. Arun, Shibu K. Mathew, Alok Porwal:
Modeling Spectral Mixing for Geological Mixtures: Detecting Nonlinearly Mixed Pixels in Hyperspectral Image of Banded Hematite Quartzite. IGARSS 2023: 7606-7609 - [c12]Samrat B, Nithish Reddy Banda, Akhil Galla, Arun P. V., Alok Porwal:
An adaptive deep denoising approach for Chandrayaan-2 IIRS Data with SURE Loss. WHISPERS 2023: 1-5 - [c11]Akhil Galla, Samrat B, Nithish Reddy Banda, Arun P. V., Alok Porwal:
Efficient Graph Formulation and Latent Space Integration for Lunar Hyperspectral Image Classification. WHISPERS 2023: 1-5 - [c10]Soorya Suresh, Pattathal V. Arun, Alok Porwal:
Spectral Unmixing in Generative Space: 3D-GAN Based Approach. WHISPERS 2023: 1-6 - 2022
- [j10]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
:
Multimodal Earth observation data fusion: Graph-based approach in shared latent space. Inf. Fusion 78: 20-39 (2022) - 2021
- [c9]Maitreya Mohan Sahoo
, Pattathal V. Arun, Alok Porwal
:
Support Vector Machines for Unmixing Geological Mixtures. WHISPERS 2021: 1-6 - 2020
- [j9]Mahendra K. Pal
, Thorkild Maack Rasmussen
, Alok Porwal
:
Optimized Lithological Mapping from Multispectral and Hyperspectral Remote Sensing Images Using Fused Multi-Classifiers. Remote. Sens. 12(1): 177 (2020) - [j8]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
, Jocelyn Chanussot:
CNN based spectral super-resolution of remote sensing images. Signal Process. 169: 107394 (2020) - [j7]Pattathal V. Arun
, Krishna Mohan Buddhiraju
, Alok Porwal
, Jocelyn Chanussot
:
CNN-Based Super-Resolution of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58(9): 6106-6121 (2020)
2010 – 2019
- 2019
- [j6]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
:
Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images. Comput. Vis. Image Underst. 188 (2019) - [j5]Pattathal V. Arun
, Krishna Mohan Buddhiraju
, Alok Porwal
:
Capsulenet-Based Spatial-Spectral Classifier for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(6): 1849-1865 (2019) - 2018
- [j4]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
:
CNN based sub-pixel mapping for hyperspectral images. Neurocomputing 311: 51-64 (2018) - [j3]Pattathal V. Arun
, Krishna Mohan Buddhiraju, Alok Porwal
:
Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches. IEEE Geosci. Remote. Sens. Lett. 15(2): 262-266 (2018) - [c8]S. Gaur, Krishna Mohan Buddhiraju, Alok Porwal:
Sub-Pixel Mapping with Hyperspectral Images Using Super-Resolution. IGARSS 2018: 2459-2462 - [c7]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
Inversion of Deep Networks for Modelling Variations in Spatial Distributions of Land Cover Classes Across Scales. IGARSS 2018: 7129-7132 - [c6]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
:
Analysis of capsulenets towards hyperspectral classification. WHISPERS 2018: 1-5 - 2017
- [c5]Mahendra K. Pal
, Alok Porwal:
Topographic correction using brightness normalization approach from hyperspectral remote sensing images. IGARSS 2017: 5658-5661 - 2016
- [c4]Mahendra K. Pal
, Alok Porwal:
Vegetation suppression for unveiling of surface lithology from Hyperspectral images using linear spectral unmixing approach. IGARSS 2016: 7046-7049 - [c3]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
:
Integration of contextual knowledge in unsupervised sub-pixel classification. WHISPERS 2016: 1-5 - [c2]Mahendra K. Pal
, Alok Porwal
:
Optimizing classification using multi-classifiers for spaceborne hyperspectral dataset. WHISPERS 2016: 1-4 - 2015
- [c1]Mahendra K. Pal
, Alok Porwal:
Destriping of Hyperion images using low-pass-filter and local-brightness-normalization. IGARSS 2015: 3509-3512 - 2012
- [j2]Le Yu
, Alok Porwal
, Eun-Jung Holden
, Michael Dentith
:
Towards automatic lithological classification from remote sensing data using support vector machines. Comput. Geosci. 45: 229-239 (2012)
2000 – 2009
- 2006
- [j1]Alok Porwal
, Emmanuel John M. Carranza
, M. Hale:
Bayesian network classifiers for mineral potential mapping. Comput. Geosci. 32(1): 1-16 (2006)
Coauthor Index

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