| PolSAR coherency matrix optimization through selective unitary rotations for model-based decomposition scheme H Maurya, RK Panigrahi IEEE Geoscience and Remote Sensing Letters 16 (4), 658-662, 2018 | 27 | 2018 |
| Non‐negative scattering power decomposition for PolSAR data interpretation H Maurya, RK Panigrahi IET Radar, Sonar & Navigation 12 (6), 593-602, 2018 | 18 | 2018 |
| Investigation of branching conditions in model-based decomposition methods H Maurya, RK Panigrahi IEEE Geoscience and Remote Sensing Letters 15 (8), 1224-1228, 2018 | 12 | 2018 |
| A fast alternative to three-and four-component scattering models for polarimetric SAR image decomposition H Maurya, A Chauhan, RK Panigrahi Remote sensing letters 8 (8), 781-790, 2017 | 10 | 2017 |
| Improved four-component based polarimetric synthetic aperture radar image decomposition H Maurya, A Kumar, A Mishra, R Panigrahi IET Radar, Sonar & Navigation, 2020 | 9 | 2020 |
| Hybrid three-component scattering power characterization from polarimetric SAR data isolating dominant scattering mechanisms H Maurya, A Bhattacharya, AK Mishra, RK Panigrahi IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 8 | 2022 |
| Extended four‐component decomposition by using modified cross‐scattering matrix H Maurya, RK Panigrahi, A Mishra IET Radar, Sonar & Navigation 11 (8), 1196-1202, 2017 | 8 | 2017 |
| Retrieval of lunar surface dielectric constant using Chandrayaan-2 full-polarimetric SAR data K Inderkumar, H Maurya, A Kumar, SS Bhiravarasu, A Das, D Putrevu, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 4 | 2022 |
| An Improved Decomposition as a Trade-Off Between Utilizing Unitary Matrix Rotations and New Scattering Models A Kumar, H Maurya, AR Misra, RK Panigrahi IEEE Access 9, 77482-77492, 2021 | 4 | 2021 |
| PolSAR image classification using generalized scattering models H Maurya, RK Panigrahi 2017 Progress in Electromagnetics Research Symposium-Fall (PIERS-FALL), 408-412, 2017 | 4 | 2017 |
| Scattering dominance and power assessment from polsar data using complex unitary rotations A Kumar, H Maurya, A Bhattacharya, RK Panigrahi IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 2 | 2023 |
| Scattering Power Decomposition Using Independent Physical Models by Decoupling Co-Pol Correlation H Maurya, A Bhattacharya, RK Panigrahi IEEE Geoscience and Remote Sensing Letters, 2023 | 1 | 2023 |
| Statistical modelling of Polarization Fraction for classification of PolSAR images using GMM A Chauhan, H Maurya, RK Panigrahi 2016 Asia-Pacific Microwave Conference (APMC), 1-4, 2016 | 1 | 2016 |
| Eigenvalue-Eigenvector Based Hybrid Polarimetric SAR Decomposition H Maurya, A Bhattacharya, RK Panigrahi, S Dey IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| An Improved Four-Component Model-Based Decomposition Scheme with Emphasis on Unitary Matrix Rotations A Kumar, H Maurya, AR Misra, RK Panigrahi 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 70-73, 2020 | | 2020 |
| Computationally fast and efficient model-based decomposition method for PolSAR data interpretation H Maurya, RK Panigrahi 2017 Progress in Electromagnetics Research Symposium-Fall (PIERS-FALL), 2105 …, 2017 | | 2017 |
Rajib Kumar PanigrahiProfessor, ECE Department, IIT RoorkeeVerified email at iitr.ac.in
