Congratulations to our labmate Changzhe Jiao as his paper “Multiple Instance Hybrid Estimator for Learning Target Signatures” was selected as one of the 10 finalists for the IGARSS 2017 student paper competition! The MI-HE paper outlines methods to characterize target signatures from imprecise and uncertain training labels.

Changzhe will be presenting his paper at IGARSS 2017 in Fort Worth, TX during the student competition oral sessions. Based on the oral presentations, a panel of judges will select the top three award winners from the ten finalists. Best of Luck Changzhe!