IIT Roorkee Homepage
Rajib Kumar Panigrahi

Rajib Kumar Panigrahi

Associate Professor

rajib.panigrahi[at]ece.iitr.ac.in
01332-284767
My Google Scholar
My Website
Resume

Radar-based remote sensing, denoising, segmentation and classification of SAR images, radar interferometry, radar polarimetry, Radar system design and development, Lunar surface characterization, AI-IoT based smart irrigation system, development of landslide forewarning system, disaster mitigation, development of sensors and networking.


From To Designation Organisation
07.11.2012 21.12.2018 Assistant Professor IIT Roorkee
22.12.2018 To-date Associate Professor IIT Roorkee
Degree Subject University Year Studied
PhD Electrical engineering IIT Guwahati 2011
Scheme Sponsoring Agency Other Faculties Year Sponsored
Estimation of Lunar Regolith Roughness and Dielectric Constant using Chandrayaan-II data [PI] Space Application center, ISRO 2019
Design and Development of Low-cost of Landslide Early Warning System[PI] NHMS 2018
Development of polarimetric SAR tools for urban application[PI] Space Application center, ISRO 2017
Development of tools for hybrid-PolSAR data analysis and applications[PI] Space Application center, ISRO 2014
Developing supervised and unsupervised classification algorithms using PolSAR [PI] FIG, IIT Roorkee 2014
Development of Satellite Interferometry based Landslide Early Warning (SIn_LEW) System Space based Disaster management support programme, IIRS Dr. D. P. Kanungo, CSIR- CBRI, Dr. R. D. Garg, Civil Dept., IIT Roorkee June 2022
Automated Lunar Crater Detection Using Payloads from Chandrayaan-2 Mission Space application centre, ISRO, Ahmedabad Dr. Himanshu Maurya (PI), ECE Dept, IIITA, Prayagraj June 2022
Title Course Code Course Semester
Engineering Electromagnetics ECN-232 B. Tech 2nd Year Spring
Microwave Engineering ECN-333 B. Tech 3rd Year Autumn
Fibre Optic Systems ECN-539 B. Tech final year, MTech RF and MTech Communication Autumn
Linear Circuits ECN-201 B. Tech 2nd Year Autumn
Signals and Systems ECN-202 B. Tech 2nd Year Spring
Radar Signal Processing ECN-550 B. Tech 8th Semester, Mtech RF and mtech Communication Spring
Advanced EMFT ECN-532 M. Tech RF and Microwave Engineering Autumn
Topic Scholar Name Status of PhD Registration Year
Some Studies On MIMO Antennas With Diversity Techniques For Wireless Applications Dr. Leeladhar Malviya A 2013
Incoherent target decomposition of polSAR data for land applications Dr. Himanshu Maurya A 2014
Analyses of hybrid-polsar data for landcover classification Mr. Ajeet Kumar A 2014
Analyses of despeckling algorithms for polSAR data Mr. Rakesh Sharma A 2015
Development of PolSAR based algorithms for urban applications Mr. Amit Kumar O July 2018
Development of WSN-IoT based landslide early warning system Amrita Joshi O July 2019
Lunar Regolith Characterization using Polarimetric Synthetic Aperture Radar Data Inderkumar Kochar O Dec 2019
Design and Development of Early-warning Radar System for Detection and Tracking of Avalanche Kaintura Aradhana Jabbar Singh Ranjana O July 2021
Title Place Date Delivered
Dual frequency SAR – data utilisation Space Science Programme Office, ISRO HQ, DOS Branch Secretariat, New Delhi 22nd Oct 2019
CH-2 DFSAR data analysis and science outcome Chandrayaan-2 Data Analysis Workshop, Indian Space Science Data Centre, ISTRAC, ISSDC, Byalalu, Bengaluru 6th Jan 2020
Remote Sensing with Microwave Radar STC, TEQIP-III "Latest Developments in Communication and Microwave Technologies National Institute of Technology, Jalandhar 6th Sep 2020
Polarimetric SAR based Remote Sensing national conference, advances in Computing Communication Signals Energy and Technology, ACCSET'21College of Engineering Vadakara, Calicut, Kerala 27th May 2021
Understanding synthetic aperture radar Workshop On Cyber Physical systems, ECE Dept, IIT BHU 24th Oct 2021
Microwave Radar and its application AICTE – ISTE sponsored online Induction Program on Millimeter Wave Frequencies, ECE Department, Gudlavalleru Engineering College 18th Aug 2021
A smart Landslide Early Warning System CEP on ‘Preparedness and Mitigation Techniques in Landslide Disaster’, DGRE, DRDO Chandigarh 22nd Aug 2022

Leeladhar Malviya, R. K. Panigrahi, and M. V. Kartikeyan, “MIMO Antennas For Wireless Communications: Theory and Design,” CRC Press 2020(ISBN:9780367530471)


                                                           

  • Journal Publications:
  1. H. Maurya, A. Bhattacharya, A. K. Mishra and R. K. Panigrahi, "Hybrid Three-Component Scattering Power Characterization From Polarimetric SAR Data Isolating Dominant Scattering Mechanisms," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 4415315, doi: 10.1109/TGRS.2022.3215704.
  2. K. Inderkumar et al., "Retrieval of Lunar Surface Dielectric Constant Using Chandrayaan-2 Full-Polarimetric SAR Data," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 4602212, doi: 10.1109/TGRS.2022.3201050.
  3. Suryarajitha, I., Ruchi, Panigrahi, R., & Kartikeyan, M. (2022). A dual-band filtenna with improved gain using AMC for 5G sub-6 GHz applications. International Journal of Microwave and Wireless Technologies, 1-9. doi:10.1017/S1759078722000605
  4. K. Inderkumar, A. Kumar and R. K. Panigrahi, "Three-Component Decomposition of Hybrid-Polsar Data With Volume Scattering Models," in IEEE Access, vol. 9, pp. 117415-117423, Aug 2021, doi: 10.1109/ACCESS.2021.3106151.
  5. A. Kumar et al., "Dielectric Constant Estimation of Lunar Surface Using Mini-RF and Chandrayaan-2 SAR Data," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-8, Aug 2021, Art no. 4600608, doi: 10.1109/TGRS.2021.3103383.
  6. A. Kumar, H. Maurya, A. R. Misra and R. K. Panigrahi, "An Improved Decomposition as a Trade-Off Between Utilizing Unitary Matrix Rotations and New Scattering Models," in IEEE Access, vol. 9, pp. 77482-77492, 2021, doi: 10.1109/ACCESS.2021.3082846.
  7. H. Maurya, Amit Kumar, Amit Mishra, R. K. Panigrahi, 'Improved Four-Component Based PolSAR Image Decomposition for Urban Area Extraction', IET Radar, Sonar & Navigation, 2020, 14, (4), p. 619-627, DOI: 10.1049/iet-rsn.2019.0483. 
  8. R. Sharma and R. K. Panigrahi, "Texture Classification-Based NLM PolSAR Filter," in IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 8, pp. 1396-1400, June. 2020, doi: 10.1109/LGRS.2020.2998959.
  9. A. Kumar, A. Das & R. K. Panigrahi (2019) Hybrid-pol Decomposition Methods: A Comparative Evaluation and a New Entropy-based Approach, IETE Technical Review, DOI: 10.1080/02564602.2019.1613937
  10. H. Maurya and R. K. Panigrahi, "PolSAR Coherency Matrix Optimization Through Selective Unitary Rotations for Model-Based Decomposition Scheme," in IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 4, pp. 658-662, April 2019.
  11. A. Kumar and R. K. Panigrahi, "Oil-spill detection using hybrid-pol data through reconstruction technique:, Electronics Letters, March 2019, 55, (9), p. 558-561, DOI: 10.1049/el.2018.6914
  12. A. Kumar and R. K. Panigrahi, 'Entropy based reconstruction technique for analysis of hybrid-polarimetric SAR data', IET Radar, Sonar & Navigation, 2019, 13, (4), p. 620-626,
  13. Malviya L, Kartikeyan MV, Panigrahi RK (2019) Multi-standard, multi-band planar multiple input multiple output antenna with diversity effects for wireless applications. Int J RF Microw Comput Aided Eng 29:e21551. https://doi.org/10.1002/mmce.21551
  14. R. Sharma and R. K. Panigrahi, "CFAR-Based Adaptive PolSAR Speckle Filter," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 12, pp. 4895-4905, Dec. 2018.
  15. H. Maurya and R. K. Panigrahi, "Investigation of Branching Conditions in Model-Based Decomposition Methods," in IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 8, pp. 1224-1228, Aug. 2018. 
  16. H. Maurya and R. K. Panigrahi, "Non-negative scattering power decomposition for PolSAR data interpretation," in IET Radar, Sonar & Navigation, vol. 12, no. 6, pp. 593-602, 6 2018. (Mr. H. Maurya: Doing his PhD thesis under my guidance)
  17. A. Thakur, S. R. Talluri, R. K. Panigrahi, "Side-lobe reduction in pulse compression having a better range resolution", Computers & Electrical Engineering, ELSEVIER, 10 March 2018, ISSN 0045-7906.
  18. L. Malviya, R. K. Panigrahi, and M. V. Kartikeyan, "Offset planar MIMO antenna for omni-directional radiation patterns" International Journal of RF and Microwave Computer-Aided Engineering, Feb 2018.
  19. R. Sharma and R. K. Panigrahi, "Stokes based sigma filter for despeckling of compact PolSAR data," in IET Radar, Sonar & Navigation, vol. 12, no. 4, pp. 475-483, 4 2018.
  20. A. Kumar and R. K. Panigrahi , "Classification of hybrid-pol data using a novel cross-polarization estimation approach", in Electronics Letters, vol.54, no. 3, pp. 161-163,2018.
  21. Rakesh Sharma and R. K. Panigrahi, "Improved patch based NLM polSAR speckle filter based on iteratively reweighted least squares method" IET Radar, Sonar & Navigation , 2018, 12, (1), p. 30-36.
  22. L. Malviya, R. K. Panigrahi & M. V. Kartikeyan, "Four Element Planar MIMO Antenna Design for Long-Term Evolution Operation", IETE Journal of Research, 64:3, 367-373,2018.
  23.  A. Kumar, A. Das and R. K. Panigrahi, "Hybrid-Pol Based Three-Component Scattering Model      for Analysis of RISAT Data" in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 12, pp. 5155-5162, Dec. 2017.
  24. L. Malviya, R. K. Panigrahi, and M. V. Kartikeyan, " MIMO antennas with diversity and mutual coupling reduction techniques: A review", International Journal of Microwave and Wireless Technologies, Vol. 9 / Iss 8, pp 1763 – 1780, December 2017.
  25. H. Maurya, R. K. Panigrahi, and A. K. Mishra, "Extended four-component decomposition by using modified cross-scattering matrix," in IET Radar, Sonar & Navigation, vol. 11, no. 8, pp. 1196-1202, 2017.
  26. H. Maurya, A Chauhan, and R. K. Panigrahi, "Fast Alternative to Three and Four-Component Scattering Models for Polarimetric SAR Image Decomposition", Remote Sensing letters,  Vol. 8 , Iss. 8, Mar 2017.
  27. L. Malviya, R. K. Panigrahi, and M. V. Kartikeyan, “A Low Profile Planar MIMO Antenna With Polarization Diversity For LTE 1800/1900 Applications”, Microwave and Optical Technology Letters, vol 59, no. 3, pages 533-538, Jan 2017.
  28. L. Malviya, R. K. Panigrahi, and M. V. Kartikeyan, “A multi-standard, wide-band 2x2 compact MIMO antenna with ground modification techniques,” International Journal of Microwave and Optical Technology, Vol. 11, No. 4, pp. 259-267, July 2016.
  29.  L. Malviya, R. K. Panigrahi, and M. V. Kartikeyan, “Circularly polarized 2x2 MIMO antenna for WLAN applications,” Progress in Electromagnetics Research C, Vol. 66, pp. 97-107, July 2016.
  30. L. Malviya, R. K. Panigrahi, and M. V. Kartikeyan, "A 2×2 dual-band MIMO antenna with polarization diversity for wireless applications," Progress In Electromagnetics Research C, Vol. 61, 91-103, Jan 2016.
  31. P. L. Vijayvergiya and R. K. Panigrahi, "Single-layer single-patch dual band antenna for satellite applications," IET Microwaves, Antennas & Propagation, vol. 11, no. 5, pp. 664-669, Nov. 2016.
  32. L. Malviya, R. K. Panigrahi, and M. V. Kartikeyan, "A 2×2 dual-band MIMO antenna with polarization diversity for wireless applications," Progress In Electromagnetics Research C, Vol. 61, 91-103, Jan 2016.
  33. A. Kumar, R. K. Panigrahi and A. Das, "Three-component decomposition technique for hybrid-pol SAR data," in IET Radar, Sonar & Navigation, vol. 10, no. 9, pp. 1569-1574, 12 2016.



.

Conference Publications:

  1.   A. Kumar, R. K. Panigrahi , A. Das, "A comparative analysis of hybrid-pol algorithms using RISAT data," IEEE APMC 2016), Delhi..  
  2.  L. Malviya, R. K. Panigrahi , and M. V. Kartikeyan, “Proximity coupled MIMO antenna for WLAN/WiMAX applications,” IEEE APMC 2016, Delhi, India.
  3.  H. Maurya, A Chauhan, and  R. K. Panigrahi ," Statistical Modelling of Polarization Fraction for Classification of PolSAR images using GMM," IEEE APMC 2016, Delhi, India.
  4.  H. Maurya and R. K. Panigrahi, "PolSAR Image Classification Using Generalized Scattering Models", Progress in Electromagnetics Research Symposium (PIERS), 2017.
  5.  H. Maurya and R. K. Panigrahi, "Computationally Fast and E cient Model-based Decomposition Method for PolSAR Data Interpretation", Progress in Electromagnetics Research Symposium (PIERS), 2017.
  6. A. Kumar , A. Das, and R. K. Panigrahi, "RISAT data analysis for land-cover classification", International radar symposium India(IRSI-17), 2017.
  7.  R. Sharma and R. K. Panigrahi , "On the Implementation of Non Local Means Speckle Filter for Hybrid PolSAR data" 11th International radar symposium India(IRSI-17), 2017. 
  8.  Kavindar Tiwari and R. K. Panigrahi, " An improved Eigen-value/Eigenvector based Land Cover Classification for high entropy areas" 11th International radar symposium India(IRSI-17), 2017. 
  9. R. Sharma and R. K. Panigrahi, "Performance Analysis of Speckle Filtering on Single-Look Polsar Data for Land Cover Classification," IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018, pp. 2354-2357
  10. Rakesh Sharma, Ajeet Kumar and R. K. Panigrahi, “Investigating the implementation issues of speckle filters for Single look Hybrid PolSAR data,” in Proc. POLinSAR 2019, Frascati Italy, February 2019.
  11. Ajeet Kumar, Rakesh Sharma, Anup Das and R. K. Panigrahi, “Hybrid-pol data analysis for land cover classification,” in Proc. POLinSAR 2019, Frascati, Italy, February 2019. 
  12. Sachin Chetal, A. K. Nayak and R. K. Panigrahi, “Multiband antenna for WLAN, WiMAX and future wireless applications,” URSI AP-RASC 2019, New Delhi, India, 09 - 15 March 2019. 
  13.  A. Joshi, J. Grover, D. P. Kanungo and R. K. Panigrahi, "Real-time Landslide Monitoring, Detection and Early Warning System for Tangni Landslide," Proceedings of the 5th International Conference on Cyber Security & Privacy in Communication Networks (ICCS) 2019 | National Institute of Technology, Kurukshetra, India, Available at SSRN: https://ssrn.com/abstract=3511001 or http://dx.doi.org/10.2139/ssrn.3511001 "
  14. A. Joshi, J. Grover, D. P. Kanungo and R. K. Panigrahi, "Edge assisted Reliable Landslide Early Warning System," 2019 IEEE 16th India Council International Conference (INDICON), 2019, pp. 1-4, doi: 10.1109/INDICON47234.2019.9028898.
  15. A. Kumar, H. Maurya, A. Ray Misra and R. K. Panigrahi, "An Improved Four-Component Model-Based Decomposition Scheme with Emphasis on Unitary Matrix Rotations," 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2020, pp. 70-73, doi: 10.1109/InGARSS48198.2020.9358972.
  16.  A. Kumar, A. Das and R. K. Panigrahi, "Analysis using dielectric variation based hybrid-pol three-component model-based method," IEEE XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science, 2020, pp. 1-4, doi: 10.23919/URSIGASS49373.2020.9232030.
  17.  A. Kumar, A. R. Misra and R. K. Panigrahi, "A Critical Analysis of Decomposition Strategies in Physical Model-Based Decomposition Techniques," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 6626-6629, doi: 10.1109/IGARSS47720.2021.9554342
  18.  Kochar Inderkumar , D. P. Tripathi , R. K. Panigrahi, 'Estimation of Lunar Dielectric Constant from Chandrayaan-1 and Chandrayaan-2 Hybrid-pol Datasets ', 2nd Indian Planetary Science Conference-2021, Volume of Abstracts, 25-26 February 2021, [Online]. Available: https://www.prl.res.in/ipsc2021/
  19. Kochar Inderkumar, R. K. Panigrahi, 'Relationships Between Lunar Ilmenite Content And Polarimetric Observables Using Polarimetric Synthetic Aperture Radar Datasets', 3rd  Indian Planetary Science Conference, Volume of Abstracts, 14-16 MARCH 2022, [Online]. Available:  https://www.prl.res.in/ipsc2022/    
  20.  A. Kumar and R. K. Panigrahi, "A Preliminary Study and Analysis on Extraction of Urban Area Density using PolSAR Images," 2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS), 2021, pp. 78-81, doi: 10.1109/InGARSS51564.2021.9791988.
  21. A. Joshi, D. P. Kanungo and R. K. Panigrahi, " Reliable Edge for Landslide Early Warning System," 2022 IEEE INDICON
  22. A. Joshi, D. P. Kanungo and R. K. Panigrahi, “Development of landslide forecasting system using deep learning,” IEEE APSCON, Bangalore, India, Jan 23-25, 2023.
  23. Yogesh Kumar Kushwaha, R. K. Panigrahi, and Ashish Pandey, "Smart Irrigation Management Using IoT-based Network", AGU Fall Meeting 2022.