A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing
Lai, Khai Ping (2016) A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing. Masters by Research thesis, Queensland University of Technology.
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.
Impact and interest:
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|Item Type:||QUT Thesis (Masters by Research)|
|Supervisor:||Mejias Alvarez, Luis & Campbell, Duncan|
|Keywords:||physics, raytracing, data science, machine learning, intelligence|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Deposited On:||25 Aug 2016 00:10|
|Last Modified:||25 Aug 2016 00:10|
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