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FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery
April 4, 2024, 4:45 a.m. | Safouane El Ghazouali, Arnaud Gucciardi, Nicola Venturi, Michael Rueegsegger, Umberto Michelucci
cs.CV updates on arXiv.org arxiv.org
Abstract: Object detection in remotely sensed satellite pictures is fundamental in many fields such as biophysical, and environmental monitoring. While deep learning algorithms are constantly evolving, they have been mostly implemented and tested on popular ground-based taken photos. This paper critically evaluates and compares a suite of advanced object detection algorithms customized for the task of identifying aircraft within satellite imagery. Using the large HRPlanesV2 dataset, together with a rigorous validation with the GDIT dataset, this …
aircraft algorithms arxiv assessment cs.ai cs.cv detection satellite type
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