Avik Bhattacharya (born 1976) is a professor at the Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay,[1][2] Mumbai, India. He has been working in the field of radar polarimetry theory and applications for more than a decade. His main focuses on the use of synthetic aperture radar (SAR) data for land use classification, change detection and qualitative and quantitative biophysical and geophysical information estimation.
Education
Bhattacharya received his M.Sc. degree in mathematics from Indian Institute of Technology Kharagpur, West Bengal, India, in 2000, and the Ph.D. degree in Indexing of Satellite Images Using Structural Information[3] from jointly at the Department of Traitement et Interprétation des Images, Télécom Paris-Tech, Paris, France and INRIA, ARIANA Project Group, Sophia Antipolis, France in 2007.[4]
Professional career
Bhattacharya joined the Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, in 2011, as an assistant professor.[1] He has been the principal and co-principal investigator of numerous projects sponsored by the Department of Science and Technology (DST), Defense Research and Development Organization (DRDO), Indian Space Research Organization (ISRO) and GEOGLAM-JECAM SAR Inter-Comparison Experiment.[5] He has authored several scientific publications in refereed international journals and conference proceedings
Bhattacharya was the editor-in-chief of the IEEE Geoscience and Remote Sensing Letters (GRSL) (2019-2024).[6][7][8][9] He is also the founding chairperson of the IEEE Geoscience and Remote Sensing Society (GRSS) Chapter, Bombay section, India.[8]
Bhattacharya has also served as a visiting professor at the following institutes:
- LISTIC – Polytech Annecy-Chambéry, Université Savoie-Mont Blanc, France (2018)[10][11]
- Instituto Gulich, National University of Córdoba, Argentina Space Agency (CONAE), Argentina, (2018)[12]
- Visiting Scientist at the Canadian Centre for Remote Sensing Ottawa, ON, Canada (2011)[13]
Major research contributions
- Stochastic Distance Based Y4O Polarimetric SAR Decomposition (SDY4O)
This is a radar polarimetric decomposition technique based on the field of statistical information theory. Here a method is devised to estimate the polarization (OA) orientation angle from the full polarimetric SAR data using the Hellinger distance.[14][15]
- Adaptive General Four-Component Scattering Power Decomposition
In this method, one out of the two types of complex special unitary transformation matrices is identified and chosen to transform a unitary rotated coherency matrix in real space based on the greatest value of degree of polarization (DOP) commonly termed as adaptive general four-component scattering power decomposition method (AG4U).[16][14]
- Sen4Rice – A cloud-based SAR processing pipeline with Google Earth Engine
Here a framework for monitoring and mapping of rice fields especially from rice cultivation regions of India using time-series of Sentinel-1 data is developed using the Google Earth Engine's cloud computing platform.[17]
Other research
Other significant research includes development of various methods like relative de-correlation Measure in Polarimetric SAR decomposition,[18] decomposition algorithm development consisting (S-Ω) and Modified (m-χ) and [19][14] crop monitoring using machine learning.[20] In past, Prof. Bhattacharya was also actively involved in study related to snow dynamics in Himalayas involving SAR data from satellites like RADARSAT-2.[21]
Honors and awards
- IEEE Geoscience and Remote Sensing Society Regional Leader Award (2024)[22]
- Australian Government Endeavor Executive Fellowship Award (2016)[23]
- Young Faculty Award, Indian Institute of Technology Bombay (2011)[1]
- Visiting Scientist Fellowship at the Canada Centre for Remote Sensing under Canadian National Laboratories (2008)[13]
See also
- Polarimetry
- Synthetic Aperture Radar
- Remote sensing
- Interferometric SAR
- Satellite crop monitoring
- Remote sensing (geology)
Selected bibliography
Articles
- Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment.. ISPRS Journal of Photogrammetry and Remote Sensing({Template:Date).
- Crop characterization using an improved scattering power decomposition technique for compact polarimetric SAR data. International Journal of Applied Earth Observation and Geoinformation({Template:Date).
- A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameter-Based Unsupervised Classification Scheme Using a Geodesic Distance. IEEE Transactions on Geoscience and Remote Sensing({Template:Date).
- A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing({Template:Date).
- Scattering Mechanism Based Snow Cover Mapping Using RADARSAT-2 C-Band Polarimetric SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing({Template:Date).
Books
- Radar Remote Sensing for Crop Biophysical Parameter Estimation{{#if:|, {{{last}}}}. Springer Nature(2021). ISBN 978-981-16-4423-8
References
- ↑ 1.0 1.1 1.2 Avik Bhattacharya. www.mrslab.in.
- ↑ Faculty | Center of Studies in Resources Engineering (CSRE), IIT Bombay. www.csre.iitb.ac.in.
- ↑ Template:Cite thesis
- ↑ TélécomParisTech/TSI -- PhD Defense of Avik Bhattacharya. www.tsi.telecom-paristech.fr. Télécom ParisTech/TSI.
- ↑ JECAM SAR Inter-Comparison Experiment. www.geoglam.org(6 June 2018).
- ↑ Editor-in-Chief of IEEE Geoscience and Remote Sensing Letters (GRSL) 2019 | IIT Bombay. www.iitb.ac.in.
- ↑ GRSL Archives. GRSS | IEEE | Geoscience & Remote Sensing Society(14 February 2021).
- ↑ 8.0 8.1 Chapters. GRSS | IEEE | Geoscience & Remote Sensing Society.
- ↑ IEEE Geoscience and Remote Sensing Letters (GRSL).
- ↑ ATELIER RECHERCHE IMAGERIE RADAR ET CRYOSPHÈRE À L'ÉCOLE D'INGÉNIEURS. www.polytech.univ-smb.fr.
- ↑ Séminaire Dr. Avik Bhattacharya – jeudi 23 mai 2019 – 13h30 – A126. LISTIC(23 May 2019).
- ↑ Remote Sensing Spring School in Argentina – SAR for Environmental and Production Monitoring. accedacris.ulpgc.es.
- ↑ 13.0 13.1 Radar Remote Sensing: Perspectives and Applications. tifr.res.in. Tata Institute of Fundamental Research (TIFR).
- ↑ 14.0 14.1 14.2 Novel Scattering Power Decomposition Techniques for Full and Compact Polarimetric SAR Data. National Symposium on Recent Advances in Remote Sensing and GIS with Special Emphasis on Mountain Ecosystems & Annual Conventions of Indian Society of Remote Sensing & Indian Society of Geomatics({Template:Date).
- ↑ Modifying the Yamaguchi Four-Component Decomposition Scattering Powers Using a Stochastic Distance. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing({Template:Date).
- ↑ An Adaptive General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix (AG4U). IEEE Geoscience and Remote Sensing Letters({Template:Date).
- ↑ Sen4Rice: A Processing Chain for Differentiating Early and Late Transplanted Rice Using Time-Series Sentinel-1 SAR Data With Google Earth Engine. IEEE Geoscience and Remote Sensing Letters({Template:Date).
- ↑ Improvement of PolSAR decomposition scattering powers using a relative decorrelation measure. Remote Sensing Letters({Template:Date).
- ↑ A new compact polarimetric SAR decomposition technique. Remote Sensing Letters({Template:Date).
- ↑ Machine learning helps monitor crop growth | IIT Bombay. www.iitb.ac.in.
- ↑ Scattering Mechanism Based Snow Cover Mapping Using RADARSAT-2 C-Band Polarimetric SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing({Template:Date).
- ↑ IEEE Geoscience and Remote Sensing Society (GRSS)'s Post. www.linkedin.com(16 July 2024).
- ↑ 2007–2018 Endeavour Scholarship and Fellowship Recipients. www.internationaleducation.gov.au. The Department of Education, Skills and Employment, Australian Government.