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Rajib Kumar Panigrahi

Rajib Kumar Panigrahi

Associate Professor

rajib.panigrahi@ece.iitr.ac.in
01332-284767
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Information extraction from radar images, Radar signal processing,Target detection and estimation, Radar based remote sensing, Disaster Management, Sensors Development And Networking
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
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
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 2018

Research Papers (Last 3 Years)                                                              

  • Journal Publications:
  1. R. Sharma and R. K. Panigrahi, "Texture Classification-Based NLM PolSAR Filter," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2020.2998959.
  2.  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. 
  3. A. Kumar, A. Das & R. K. Panigrahi (2020) Hybrid-pol Decomposition Methods: A Comparative Evaluation and a New Entropy-based Approach, IETE Technical Review, 37:3, 296-308, DOI: 10.1080/02564602.2019.1613937
  4. A. Kumar and R. K. Panigrahi, "Oil-spill detection using hybrid-pol data through reconstruction technique," in Electronics Letters, vol. 55, no. 9, pp. 558-561, 2 5 2019, doi: 10.1049/el.2018.6914.
  5. L. Malviya,  M. V. Kartikeyan and R. K. Panigrahi, "Multi-standard, multi-band planar multiple input multiple output antenna with diversity effects for wireless applications", Int J RF Microw Comput Aided Eng. 2018, https://doi.org/10.1002/mmce.21551
  6. 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. 620-626DOI:  10.1049/iet-rsn.2018.5338.
  7. 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.  doi: 10.1109/LGRS.2018.2878654
  8. 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. doi:10.1109/JSTARS.2018.2877670.
  9. 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.  
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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. 
  18. 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, December 2017, pp 1763 - 1780.
  19. 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, 8 2017.
  20. 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.
  21. 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, 2017.

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Conference Publications:

  1.  H. Maurya and R. K. Panigrahi, "PolSAR Image Classification Using Generalized Scattering Models", Progress in Electromagnetics Research Symposium (PIERS), 2017.
  2.  H. Maurya and R. K. Panigrahi, "Computationally Fast and Efficient Model-based Decomposition Method for PolSAR Data Interpretation", Progress in Electromagnetics Research Symposium (PIERS), 2017.
  3.  A. Kumar , A. Das, and R. K. Panigrahi "RISAT data analysis for land-cover classification", International radar symposium India(IRSI-17), 2017.
  4.  R. Sharma and R. K. Panigrahi, "On the Implementation of Non Local Means Speckle Filter for Hybrid PolSAR data" International radar symposium India(IRSI-17), 2017. 
  5.  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
  6. 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.
  7. 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. 
  8. 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. 
Total Citations
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