Aircraft type recognition based on convex hulls and the support vector machine
Speaker: Ho Duc Hieu

Time: 14h00, Tuesday, June 9, 2020

Abstract: Aircraft type recognition is one of the meaningful tasks in remote sensing image interpretation. It remains challenging due to the difficulty of obtaining an appropriate representation of aircrafts for recognition. In this proposal, we present an approach given by [1] for recognizing aircraft type based on convex hulls and a machine learning model, namely SVM (Support Vector Machine).


  1. Liu, Y., Wu, X. and Hong, R.: Aircraft type recognition based on convex hull features and SVM. In: Proc. of the International Symposium on Multispectral Image Processing and Pattern Recognition, Nov. 15. Wuhan, China (2007).

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