Tag: scene understanding

Congratulations to our labmate, Dylan Stewart, for passing his Oral Qualifying Exam and becoming a PhD candidate!  For the remainder of his PhD work, Dylan plans to investigate fundamental research questions on “Alignment and Scene Understanding for Multi-look Remote Sensing Modalities”. We are excited to see what comes from his work! Great job, Dylan!

Abstract: In remote sensing, each sensor can provide complementary or reinforcing information. It is valuable to fuse outputs from multiple sensors to boost overall performance. Previous supervised fusion methods often require accurate labels for each pixel in the training data. However, in many remote sensing applications, pixel-level labels are difficult or infeasible to obtain. In […]