Session
Technical Poster Session 5
Location
Utah State University, Logan, UT
Abstract
The Reconnaissance and Documentation (RAD) project aims to be a Low Earth Orbit (LEO) based satellite that will utilize image recognition and optical remote sensing technology to target countries currently experiencing Stage Seven or higher on the United Nations’ Ten Stages of Genocide. Once a target is located, the Leza satellite will capture images and downlink to a ground station based in Prescott, Arizona. These images will be processed internally and then reviewed before being sent to the United Nations and mainstream media outlets to assist in providing the legal evidence needed for the conviction of war criminals. The system overview consists of the Leza satellite and the testing prototype including the drone, Olorun, and the testing payload, OWL, that has been integrated with Olorun. The Olorun has been utilized as a testing platform for the image recognition software that has been developed as part of the OWL payload. This paper details the overview of the system and its subsystems, the unique aspect of the overall system, and the results of several critical tests that were conducted to prove compliance with the set system requirements.
Reconnaissance and Documentation
Utah State University, Logan, UT
The Reconnaissance and Documentation (RAD) project aims to be a Low Earth Orbit (LEO) based satellite that will utilize image recognition and optical remote sensing technology to target countries currently experiencing Stage Seven or higher on the United Nations’ Ten Stages of Genocide. Once a target is located, the Leza satellite will capture images and downlink to a ground station based in Prescott, Arizona. These images will be processed internally and then reviewed before being sent to the United Nations and mainstream media outlets to assist in providing the legal evidence needed for the conviction of war criminals. The system overview consists of the Leza satellite and the testing prototype including the drone, Olorun, and the testing payload, OWL, that has been integrated with Olorun. The Olorun has been utilized as a testing platform for the image recognition software that has been developed as part of the OWL payload. This paper details the overview of the system and its subsystems, the unique aspect of the overall system, and the results of several critical tests that were conducted to prove compliance with the set system requirements.
