A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing
Khai Ping Lai · School of Electrical Engineering & Computer Science; Science & Engineering Faculty · 2016
This project aims to investigate a robust Deep Learning architecture to classify different type of textural imagery. The findings will eventually be part of a central processing algorithm used for Automatic Image Classification for Automatic Aircraft Landing.