Lâmân LELÉGARD

Lâmân LELÉGARD serves as a Researcher at the French National Institute of Geographic and Forest Information (IGN), currently assigned to the MATIS laboratory since 2018 after 10 years at LASTIG. As a Civil Servant Engineer and member of the GEOVIS research team, he contributes to geospatial research while occasionally teaching image processing, DTM manipulation, and colorimetry courses in the PPMD Master's program at the National School of Geographic Sciences (ENSG).

His academic foundation includes an engineering degree (2004-2007) and Specialized Master in Geodesy (2006-2007) from ENSG, preceded by Mathematics and Physics preparatory classes at Charlemagne High School (2001-2004). Early career internships involved gravitational field analysis at Belgium's Royal Observatory (2006) and gravito-elastic equations at Paris Institute of Earth Physics (2007).

LELÉGARD's research centers on image quality enhancement in photogrammetry, with sustained contributions to motion blur correction, radiometric processing, and colorimetry. His work addresses practical challenges in aerial/terrestrial imagery, including nighttime scanning systems, channel-dependent exposure artifacts, and scanned campaign inhomogeneities. Methodologies leverage adaptive filtering, principal component analysis, and multiscale transforms for real-world geospatial applications.

Publication analysis reveals consistent focus on operational image processing solutions between 2010-2022, with recent work emphasizing radiometric correction for analogue airborne data and real-time vignetting estimation. His output bridges theoretical image science and field-deployable techniques for national mapping agencies.

He has advised two significant internships: Emeric DELAYGUE's 2009 research on aerial motion blur deconvolution and Vincent DAVAL's 2012 work on nighttime mobile imaging restoration. These projects reflect his expertise in image degradation correction within ENSG's PPMD program framework.

As an active GEOVIS team member, LELÉGARD continues advancing image quality methodologies at MATIS laboratory, focusing on radiometric processing innovations for IGN's geospatial data pipelines while maintaining selective teaching engagements at ENSG.