Dataset Groups Activity Stream Unsupervised Learning for Target Tracking and Background Subtraction in Satellite Imagery Simulated data used to compare the performance of Jekyll and Hyde against a more traditional supervised Machine Learning approach. BibTex: @dataset{Jonathan_S_Kenta_and_Charles_C_Wamsley_and_Davin_Flateau_and_Amber_Fergusson_2024, abstract = {Simulated data used to compare the performance of Jekyll and Hyde against a more traditional supervised Machine Learning approach.}, author = {Jonathan S. Kenta and Charles C. Wamsley and Davin Flateau and Amber Fergusson}, doi = {10.57702/hvvezho5}, institution = {No Organization}, keyword = {'background subtraction', 'satellite imagery', 'target tracking'}, month = {dec}, publisher = {TIB}, title = {Unsupervised Learning for Target Tracking and Background Subtraction in Satellite Imagery}, url = {https://service.tib.eu/ldmservice/dataset/unsupervised-learning-for-target-tracking-and-background-subtraction-in-satellite-imagery}, year = {2024} }
