We present a new statistical method for constructing background subtracted measurements from event list data gathered by X-ray and gamma ray observatories. This was initially developed specifically to construct images that account the high fraction low overall count rates observed in survey Mikhail Pavlinsky ART-XC telescope aboard Spektrum R\"{o}ntgen Gamma (SRG) mission, although mathematical...

This paper presents a deep learning-based automated background removal technique for structural exterior image stitching. In order to establish an damage map of structure using unmanned aerial vehicle (UAV), close-up vision scanning is typically required. However, unwanted objects are often captured within the scanned digital images. Since unnecessary cause serious distortion on stitching proce...

Abstract Close-range photogrammetry can be used to reconstruct dense point clouds of an object with very high surface coverage, making it useful for manufacturing metrology tasks such as part inspection and validation. However, compared competing techniques, data processing times slow. In this paper we present a method autonomously remove the background from images within photogrammetric datase...