Aiden Alexander

The holiday season is upon us, and with it comes the joy of hosting friends and family. While the thought of orchestrating a holiday gathering can seem daunting, fear not – we have you covered!

Coatesville VA Medical Center Commemorates Transgender Day of Remembrance

WILMINGTON, DE — The Wilmington Police Department is making strides in its commitment to community engagement, continuing its monthly tradition of ‘Coffee with a Cop.'

PHOENIXVILLE, PA — In the heart of Chester County, Pennsylvania lies Phoenixville – a town teeming with art, culture, and a unique sense of community.

Experience of the Sixth Annual Christmas Spirit Light Show as Clipper Magazine Stadium illuminates Lancaster with dazzling lights.

WEST CHESTER, PA — Chester County residents with a penchant for history, fasten your seatbelts!

COLLEGEVILLE, PA — Calling all pet lovers in southeastern Pennsylvania! The Pennsylvania SPCA is taking a creative step to help our furry friends find their forever homes.

Get ready to light up your run at Lancaster Barnstormers' Dashing Through the Lights 5K! Join us for a festive and exhilarating experience under the dazzling lights. Register now!

Thanksgiving is a time for family, friends, and food. But for those with food allergies, it can also be a time of stress and worry.

In recent years, there has been a significant increase in satellite launches, resulting in a proliferation of satellites in our near-Earth space environment. This surge has led to a multitude of resident space objects (RSOs). Thus, detecting RSOs is a crucial element of monitoring these objects and plays an important role in preventing collisions between them. Optical images captured from spacecraft and with ground-based telescopes provide valuable information for RSO detection and identification, thereby enhancing space situational awareness (SSA). However, datasets are not publicly available due to their sensitive nature. This scarcity of data has hindered the development of detection algorithms. In this paper, we present annotated RSO images, which constitute an internally curated dataset obtained from a low-resolution wide-field-of-view imager on a stratospheric balloon. In addition, we examine several frame differencing techniques, namely, adjacent frame differencing, median frame differencing, proximity filtering and tracking, and a streak detection method. These algorithms were applied to annotated images to detect RSOs. The proposed algorithms achieved a competitive degree of success with precision scores of 73%, 95%, 95%, and 100% and F1 scores of 68%, 77%, 82%, and 79%.