Yoav Y. Schechner

Technion – Israel Institute of Technology

Papers

Total Citations

100

H-Index

About

Yoav Y. Schechner is a leading figure in computational imaging and computer vision, with a particular focus on imaging through scattering media and atmospheric optics. His research bridges the gap between physics-based models and algorithmic reconstruction, enabling clear vision in challenging environments such as underwater scenes and hazy atmospheres. A key contribution is the concept of "The Next Best Underwater View," which addresses the compounded problem of geometric occlusions and scattering-induced degradation by optimizing camera movement for high-resolution imaging in participating media. This work, garnering 51 citations, has influenced autonomous underwater vehicle navigation and marine biology surveys. Schechner also made significant strides in atmospheric remote sensing, co-authoring a highly cited study (49 citations) that fused lidar, AERONET, satellite, and ground-based measurements to improve high-resolution MAIAC aerosol optical depth retrievals. His work accounts for complex aerosol mixing and cloud coverage, enhancing the accuracy of climate and air quality models. A professor at the Technion – Israel Institute of Technology, Schechner’s interdisciplinary approach has earned him recognition for advancing both fundamental science and practical imaging systems, inspiring students to tackle real-world visibility challenges.