인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study presents the design and analysis of a small satellite design hosting a Lidar sensor for data acquisition aimed at environmental protection. The project explores the CubeSat technology, beginning with an overview of the international and Greek space sectors, the emergence of the “New Space” industry, and its economic impacts. The design focuses on the development and integration of the Lidar sensor within a CubeSat framework, detailing the historical context, engineering standards, and the development lifecycle of CubeSat designs. Key elements of the study include a thorough examination of the CubeSat’s subsystems, such as the payload (Lidar sensor), orbit determination and control (ADCS), propulsion, telecommunications, thermal protection, onboard computing, and power systems. The study also covers design planning, software development, cost estimation, and the identification of potential challenges. Furthermore, the research delves into the operational principles of Lidar technology, its significance in science and research, and its comparison with other data transmission technologies. The study also addresses advanced data analysis techniques for Lidar sensor data, focusing on signal processing, object detection, and feature extraction. The final section assesses the role of satellite data in C6ISR (Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance, and Reconnaissance) information management systems and their applications in Greek spotlight. It explores the integration of satellite imagery with artificial intelligence to enhance data analysis and decision-making. Overall, this comprehensive study aims to contribute to the advancement of CubeSat designs equipped with Lidar sensors, providing valuable insights into technological innovations and their applications in environmental protection
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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