Bahram Salehi

PhD, M.Sc.(Remote Sensing Engineering), B.Sc.(Geomatics Engineering), P.Eng

Cross Appointment

Contact Information

Ph: 709-864-6701
Em: bsalehi[at]mun.ca
Office: K214

Expertise

Image Processing
Remote Sensing (Optical, PolSAR and InSAR)
Geomatics

Research Interests

High resolution optical, Polarimetric SAR, Interferometric SAR data, Object-based Image Analysis, UAV Image Processing, Nanosatellite Image Processing, Remote Sensing for Environmental Monitoring (Wetland, Forest, Oil Spill, Water level), Classification and Change Detection

Personal Profile

Received his PhD degree in Geomatics Engineering - Remote Sensing from University of New Brunswick (UNB) in 2012, Dr. Salehi joined C-CORE with LOOKNorth , a Canadian Centre of Excellence for Commercialization and Research, as a Remote sensing scientist/engineer in 2013. He is currently a senior remote sensing engineer with C-CORE and a cross- appointed professor to Faculty of Engineering and Applied Science at Memorial University (MUN). Prior to his current position Dr. Salehi was a NSERC post-doctoral visiting fellow in Canadian Government Laboratories at Earth Observation, Science and Technology Branch of Agriculture and Agri-food Canada in Ottawa.

Dr. Salehi has over 15 years of academic and industrial R&D experience in remote sensing, geomatics, and photogrammetry with specialization in very high resolution optical, polarimetric synthetic aperture radar (SAR), Interferometric SAR (InSAR), and hyperspectral data algorithm and application development. In addition, he has over 6 years of teaching experience at four different universities including MUN and UNB where he developed and taught a number of courses including remote sensing, photogrammetry, geomatics, and surveying to undergraduate and graduate students form a variety of disciplines in Engineering and Science. Bahram's research experience and interests span a range of topics in optical and SAR data processing for environmental mapping and monitoring including wetland classification and SAR-based water level change monitoring, satellite- and Unmanned Aerial Vehicle (UAV)-based terrestrial pipeline oil leakage detection and impact monitoring, InSAR-based permafrost monitoring, urban land cover classification, satellite-based moving vehicle information extraction, accurate crop type classification, oil and gas-related land disturbance monitoring, land cover classification and forest mapping and tree height estimation. While supervising a team of Postdocs, graduate students, and work-term students at MUN and C-CORE, Dr. Salehi is conducting operational research at C-CORE in collaboration with industry, federal, and provincial governments utilizing advanced earth observation technologies for various environmental applications.

Bahram has received a number of awards, scholarships, and grants including the 2017-2019 MITACS Grant, 2015-2019 NSERC Discovery Grant, 2015-2018 Environment Canada Atlantic Ecosystem Initiatives Funding, 2015-2018 Government of Canada, National Conservation Plan, 2014-2017 Newfoundland and Labrador research and development corporation (RDC) Ignite grant, the NSERC visiting fellowship in Canadian government laboratories in 2012, the 2012 ERDAS-DigitalGlobe Geospatial Challenge, and the First paper prize at the UNB graduate students' competition in 2011. Dr. Salehi is the author of more than 50 peer-reviewed journal papers, book chapters, and refereed conference papers. He is an Associate editor for the Canadian Journal of Remote Sensing, a guest editor for ISPRS International Journal of Geo-information, a new editorial board member of Journal of Geodesy and Geomatics Engineering and has served as the reviewer for more than 25 grant applications, journals and conference proceedings. He also serves as a director for Canadian Remote Sensing Society, and as an executive member of ISPRS Commission III, WGIII/3.Dr. Salehi is a registered member of professional engineers and geoscientist (P.Eng.) of Newfoundland and Labrador and New Brunswick. He is a member of IEEE Geoscience and Remote Sensing Society, American Society for Photogrammetry and Remote Sensing, American Geophysical Union, and Canadian Institute of Geomatics.

Honours/Awards/Accreditation

IEEE NECEC 2016 David Collett Best Industry Paper
MITACS Accelerate Grant, 2017-2019
NSERC Discovery Grant, 2015-2019
Environment Canada NWCF, 2015-2018
Environment Canada AEI Fund, 2015-2018
Newfoundland and Labrador RDC Ignite Grant, 2014-2016
NSERC Visiting Fellowship in Canadian Government Laboratories, 2012-2013
Oral presentation award, Science and Engineering, GRC, UNB, Canada, April 2012
2012 ERDAS - DigitalGlobe Geospatial Challenge , WorldView-2 Imagery
First Paper Prize, Dep Graduate Student Paper Competition, UNB, Canada, 2011
2011 DigitalGlobe 8-Band Research Challenge Contest, WorldView-2 Imagery

Professional Appointments

Director, Canadian Remote Sensing Society, 2016 - present.
Secretary, Commission III, WGIII, ISPRS-International Society for Photogrammetry and Remote Sensing Society, 2016-2020.
Committee Member: The 2017 ISPRS International Workshop On Advances In SAR: Constellations, Signal Processing and Applications, SARCon 2017. Sept 21-22, 2017 Wuhan, China.
Technical Committee Member: Canadian Wetland Round Table, 2016 - present
Registered Professional Engineer, Association of Professional Engineers and Geoscientists of Newfoundland and Labrador (PEGNL), Canada, 2014 - present

Selected Publications

B. Salehi, B. Daneshfar, A. Davidson, 2017. Object-based image analysis for accurate crop type classification using multi-temporal optical and multi-polarization SAR data. International Journal Remote Sensing, Vol 38. No 14. pp. 4130-4155.

Amani, M., Salehi, B., Masjedi, A., Dehnavi, S, 2017. "Temperature-Vegetation-soil Moisture Dryness Index (TVMDI)". Remote Sensing of Environment, Vol. 197, pp. 1-14.

Mahdianpari, M., Salehi, B., M-Manesh, F., and M. Motagh, 2017. “Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery." ISPRS Journal of Photogrammetry and Remote Sensing, 130 (2017) 13-31.

Amani, M., Salehi, B., Amani, M., Mahdavi, S., Granger, J., Brisco, B., Hanson, A., 2017. "Wetland classification using multi-source and multi-temporal optical remote sensing data in Newfoundland and Labrador, Canada". Canadian Journal of Remote Sensing, Vol. 43, No 4, pp. 360-373.

Mahdavi, S., Salehi, B., Moloney, C., Huang, W., and B. Brisco 2015."Speckle Filtering of Synthetic Aperture Radar Images Using Filters with Object-Size Adapted Windows". International Journal of Digital Earth, 10.1080/17538947.2017.1351582.

B. Salehi, Z. Chen, W. Jefferies, P. Adlakha, P. Bobby, and D. Power, 2014. Well site extraction from Landsat-5 TM imagery using an object- and pixel-based image analysis method. International Journal of Remote Sensing, Vol. 35, No. 23, pp. 7941-7958.

B. Salehi, Y. Zhang, M. Zhong, 2013. A combined pixel-and object-based image analysis framework for urban land cover classification of VHR imagery, Photogrammetric Engineering & Remote Sensing, Vol. 79, No. 11, pp. 999-1014.

B. Salehi, Y. Zhang, M. Zhong, 2012. Automatic moving vehicle information extraction from single-pass WorldView-2 imagery. IEEE Journal of Selected Topic in Earth Observation and Remote Sensing, Vol. 5, No. 1, pp. 135-145.

B. Salehi, Y. Zhang, M. Zhong, V. Dey, 2012. A review of the effectiveness of spatial information used in urban land cover classification of VHR imagery. International Journal of GeoInformatics, Vol. 8, No.3, pp. 35-51.

B. Salehi, Y. Zhang, M. Zhong, 2012. Object-based land covers classification of urban areas using VHR imagery and height points ancillary data. Remote Sensing, Vol. 4, No.8, pp. 2256-2276.

B. Salehi, M. J. Valadan Zouj, M. Varshosaz, 2008. “Projection Pursuit and Lowpass Filtering for Preprocessing of Hyperspectral Images” World Applied Sciences Journal, Vol. 3, No.5, pp. 785-796.

B. Salehi, M. J. Valadan Zoej, M.R. Saradjian, 2008. A Preprocessing Stage before the Feature Extraction Procedure in Classification of Hyperspectral Images Data” Journal of University of Tehran, College of Engineering. Vol. 42, No. 3, pp. 102-113