Bayesian network classifiers for mineral potential mapping. - Alok Porwal; Emmanuel John M. Carranza; M. Hale (Comput. Geosci., 2006)

Towards automatic lithological classification from remote sensing data using support vector machines. - Le Yu 001; Alok Porwal; Eun-Jung Holden; Michael Dentith (Comput. Geosci., 2012)

Destriping of Hyperion images using low-pass-filter and local-brightness-normalization. - Mahendra K. Pal; Alok Porwal (IGARSS, 2015)

Vegetation suppression for unveiling of surface lithology from Hyperspectral images using linear spectral unmixing approach. - Mahendra K. Pal; Alok Porwal (IGARSS, 2016)

Integration of contextual knowledge in unsupervised sub-pixel classification. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal (WHISPERS, 2016)

Optimizing classification using multi-classifiers for spaceborne hyperspectral dataset. - Mahendra K. Pal; Alok Porwal (WHISPERS, 2016)

Topographic correction using brightness normalization approach from hyperspectral remote sensing images. - Mahendra K. Pal; Alok Porwal (IGARSS, 2017)

Inversion of Deep Networks for Modelling Variations in Spatial Distributions of Land Cover Classes Across Scales. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal (IGARSS, 2018)

Sub-Pixel Mapping with Hyperspectral Images Using Super-Resolution. - S. Gaur; Krishna Mohan Buddhiraju; Alok Porwal (IGARSS, 2018)

Analysis of capsulenets towards hyperspectral classification. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal (WHISPERS, 2018)

CNN based sub-pixel mapping for hyperspectral images. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal (Neurocomputing, 2018)

Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal (IEEE Geosci. Remote. Sens. Lett., 2018)

Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal (Comput. Vis. Image Underst., 2019)

Capsulenet-Based Spatial-Spectral Classifier for Hyperspectral Images. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

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)

CNN based spectral super-resolution of remote sensing images. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal; Jocelyn Chanussot (Signal Process., 2020)

CNN-Based Super-Resolution of Hyperspectral Images. - Pattathal V. Arun 001; Krishna Mohan Buddhiraju; Alok Porwal; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2020)

Support Vector Machines for Unmixing Geological Mixtures. - Maitreya Mohan Sahoo; Pattathal V. Arun 001; Alok Porwal (WHISPERS, 2021)

Multimodal Earth observation data fusion: Graph-based approach in shared latent space. - Pattathal V. Arun 001; 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)

Graph Neural Network Based Interpretable Spectral Unmixing for Hyperspectral Unmixing Hyperspectral IIRS Data Onboard Chandrayaan-2 Mission. - Pattathal V. Arun 001; Maitreya Mohan Sahoo; Alok Porwal (IGARSS, 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 001; Shibu K. Mathew; Alok Porwal (IGARSS, 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 (WHISPERS, 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 (WHISPERS, 2023)

Spectral Unmixing in Generative Space: 3D-GAN Based Approach. - Soorya Suresh; Pattathal V. Arun 001; Alok Porwal (WHISPERS, 2023)

Modelling Spectral Unmixing of Geological Mixtures: An Experimental Study Using Rock Samples. - Maitreya Mohan Sahoo; R. Kalimuthu; Pattathal V. Arun 001; Alok Porwal; Shibu K. Mathew (Remote. Sens., 2023)

Open-Set Identification of Minerals From CRISM Hyperspectral Data. - Sandeepan Dhoundiyal; Moni Shankar Dey; Shashikant Singh; Pattathal V. Arun 001; Guneshwar Thangjam; Alok Porwal (IGARSS, 2024)

Optimal Feature Selection for Estimating Lunar Soil Maturity from Spectroscopic Data. - Sandeepan Dhoundiyal; Shivam Kumar; Debosmita Paul; Malcolm Aranha; Guneshwar Thangjam; Alok Porwal (WHISPERS, 2024)

Efficient Spectral Attention Block for Cascaded Hyperspectral Image Super-Resolution Architectures. - Tarun Patibandla; Arun PV; Alok Porwal (WHISPERS, 2024)

Sparse Coding Inspired GAN for Hyperspectral Unmixing. - Soorya Suresh; Arun P. V.; Alok Porwal (WHISPERS, 2024)

A New Algorithm for Detecting Carbonates Using Crism Hyperspectral Data. - Yash Toshniwal; Saransh Vottery; Sandeepan Dhoundiyal; Alok Porwal (WHISPERS, 2024)

Leveraging Internal Representations of Model for Magnetic Image Classification. - Adarsh N. L; Arun P. V.; Alok Porwal; Malcolm Aranha (CoRR, 2024)