Seminar on Satellite Image Analysis via Deep Learning
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Seminar on Satellite Image Analysis via Deep Learning
The last decade has seen an explosion in the availability and affordability of commercial satellite imagery. This growth has yielded tremendous improvements in our ability to perform environmental monitoring, commercial development, and defense and intelligence planning. However, the deluge of data has made it difficult for image analysts to prioritize their efforts. This presents an immediate need for novel machine learning and computer vision techniques which can identify and flag significant changes among thousands of images per day. In this seminar, we will cover the basics of satellite imagery analytics using modern computer vision techniques. The seminar will have a particular focus on training deep learning models for satellite imagery analysis.
Spring 2019
Date | Location | Speaker | Topic |
---|---|---|---|
February 14, 2019 | Room 4106 Exploratory Hall | Patrick O'Neil | Seminar Overview |
February 21, 2019 | Room 4106 Exploratory Hall | Diego Torrejon | Deep Learning with Satellite Imagery |
February 28, 2019 | Room 4106 Exploratory Hall | Patrick O'Neil | Introduction to Computer Vision |
March 7, 2019 | Room 4106 Exploratory Hall | Diego Torrejon | Introduction to Machine Learning |
March 14, 2019 | -- | -- | No Seminar due to Spring Break |
March 21, 2019 | Room 4106 Exploratory Hall | Diego Torrejon | Introduction to Neural Networks |
March 28, 2019 | Room 4106 Exploratory Hall | Patrick O'Neil | Convolutional Neural Networks |
April 4, 2019 | --- | --- | No seminar due to |
April 11, 2019 | Room 4106 Exploratory Hall | Diego Torrejon | Convolutional Neural Networks Architecture |
April 18, 2019 | Room 4106 Exploratory Hall | Patrick O'Neil | Semantic Segmentation |
April 25, 2019 | Room 4106 Exploratory Hall | Patrick O'Neil | Miscellaneous Models |
May 2, 2019 | Room 4106 Exploratory Hall | Diego Torrejon | Neural Network Thinning and Object Detection |