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 Slides
February 21, 2019	Room 4106 Exploratory Hall	Diego Torrejon	Deep Learning with Satellite Imagery Slides
February 28, 2019	Room 4106 Exploratory Hall	Patrick O'Neil	Introduction to Computer Vision Python Notebook Test Image
March 7, 2019	Room 4106 Exploratory Hall	Diego Torrejon	Introduction to Machine Learning Python Notebook Data File
March 14, 2019	--	--	No Seminar due to Spring Break
March 21, 2019	Room 4106 Exploratory Hall	Diego Torrejon	Introduction to Neural Networks Python Notebook
March 28, 2019	Room 4106 Exploratory Hall	Patrick O'Neil	Convolutional Neural Networks Python Notebook
April 4, 2019	---	---	No seminar due to East Coast Optimization Meeting 2019
April 11, 2019	Room 4106 Exploratory Hall	Diego Torrejon	Convolutional Neural Networks Architecture Python Notebook
April 18, 2019	Room 4106 Exploratory Hall	Patrick O'Neil	Semantic Segmentation Python Notebook
April 25, 2019	Room 4106 Exploratory Hall	Patrick O'Neil	Miscellaneous Models Python Notebook
May 2, 2019	Room 4106 Exploratory Hall	Diego Torrejon	Neural Network Thinning and Object Detection Python Notebook, Slides