Semi-automated detection of airbases in satellite images using Deep Convolutional Neural Networks

Prateek Jain, Shashikant Ghangare, JV Satyanarayana, Gaddam Venkat Reddy

Abstract: Manual inspection of satellite images for detection of objects of interest is very cumbersome and time consuming. In this paper we report the use of the YOLO Deep Convolutional Neural Network(CNN) architecture for automatic detection of air-bases in satellite images. We have trained the YOLO network with a custom dataset of about 360 air-bases. The trained network has demonstrated a recall value of 0.7716 on the test Images.