Now showing items 1-3 of 3
Application of deep convolutional neural networks to automatic feature/object detection in high resolution remote sensing imagery
(University of Missouri--Columbia, 2017)
of CaffeNet, GoogLeNet, ResNet-50, ResNet-101, on this data set. ResNet-101 achieved a 96.4 percent average accuracy on the world-wide SAM site data set. Finally, we present a China SAM site search and detection case study. First, we compare a visual Broad...
Analysis of flame images in gas-fired furnaces
(University of Missouri--Columbia, 2007)
A promising architecture is proposed in this research work for evaluating gasfired furnace flame combustion quality. The quality assessment is based on information on its fuel and oxidizer flow rate level which are the ...
Vehicle license plate detection and recognition
(University of Missouri--Columbia, 2010)
In this work, we develop a license plate detection and recognition method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) features. The system performs window searching at different ...