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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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제16권 제4호
- 발행연도
- 2020.1
- 수록면
- 795 - 808 (14page)
이용수
초록· 키워드
오류제보하기
Due to the poor evaluation indexes such as detection accuracy and recall rate when Yolov3 network detects aircraft in remote sensing images, in this paper, we propose a remote sensing image aircraft detection method based on machine vision. In order to improve the target detection effect, the Inception module was introducedinto the Yolov3 network structure, and then the data set was cluster analyzed using the kmeans algorithm. In order to obtain the best aircraft detection model, on the basis of our proposed method, we adjusted the network parameters in the pretraining model and improved the resolution of the input image. Finally, our methodadopted multiscale training model. In this paper, we used remote sensing aircraft dataset of RSODDataset to do experiments, and finally proved that our method improved some evaluation indicators. The experiment of this paper proves that our method also has good detection and recognition ability in other ground objects.
목차
등록된 정보가 없습니다.
참고문헌 (12)
참고문헌 신청
Muhammad Aamir / 2018 / A Hybrid Proposed Framework for Object Detection and Classification / JIPS(Journal of Information Processing Systems) 14(5):1176~1194
M. Aamir / 2019 / A framework for automatic building detection from low-contrast satellite images / Symmetry 11
J. Redmon / Yolov3: an incremental improvement
S. Sindhu Ramachandran / 2018 / Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans / Proceedings of SPIE 10575: Medical Imaging 2018: Computer-Aided Diagnosis
Y. L. Chang / 2019 / Ship detection based on YOLOv2 for SAR imagery / Remote Sensing 11
M. Aamir / 2019 / A framework for automatic building detection from low-contrast satellite images / Symmetry 11
J. Redmon / Yolov3: an incremental improvement
S. Sindhu Ramachandran / 2018 / Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans / Proceedings of SPIE 10575: Medical Imaging 2018: Computer-Aided Diagnosis
Y. L. Chang / 2019 / Ship detection based on YOLOv2 for SAR imagery / Remote Sensing 11
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