Systems and methods for utilizing low-resource training datasets for space-based object detection

Abstract

Embodiments can relate to a system for efficiently and dynamically classifying an object of an input image. The system can include an input module for receiving an image of an area of interest captured by an image capture device. The system can include a memory including a synthetic dataset composed of templates, wherein at least one template can be constructed of a statistical mean of shapes. The system can include a processor having a detection module and a classifier module. The detection module can be configured to scan an image to identify a streak pattern. The classifier module can be configured to compare a streak pattern to classify a streak pattern as being representative of a resident space object or representative of a star. The system can include a user interface configured to generate an output identifying a streak pattern as a resident space object or a star.

Dependencies are inferred from the claim text.