http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
심층 합성곱 신경망 기반 의미론적 분할 모델을 이용한 영상기반 비행체 검출
황선유(Sunyou Hwang),조성욱(Sungwook Cho),심현철(Hyunchul Shim) 제어로봇시스템학회 2017 제어·로봇·시스템학회 논문지 Vol.23 No.8
This paper proposes a vision-based aircraft detection method using deep convolutional neural network-based semantic segmentation. SegNet architecture is used as deep learning model. The proposed method detects aircrafts even with a complex background and can be applied to various environments without modification of the algorithm. Several videos were tested to verify the performance of the proposed method, and the results are shown and summarized for each case. The results show robustness against scale, light intensity, and viewpoint for flight detection.