논문 상세보기
A Survey of Deep Learning Based Satellite Image Analysis Technologies to Support Remote Sensing for Nuclear Nonproliferation
한국방사성폐기물학회 학술논문요약집
(Abstracts of Proceedings of the Korean Radioactive Wasts Society)
2020 추계학술논문요약집 (2020.12)
pp.23-24
pp.23-24
한국방사성폐기물학회
(Korean Radioactive Waste Society)
목차
1. Introduction
2. R&D trends of deep learning methodsfor remote sensing of satellite imagery
2.1 Change detection by semantic segmentationwith Fully Convolutional Networks (FCN)
2.2 Construction of training datasets withKOMPSAT satellite imagery
3. Conclusion
ACKNOWLEDGMENTS
2. R&D trends of deep learning methodsfor remote sensing of satellite imagery
2.1 Change detection by semantic segmentationwith Fully Convolutional Networks (FCN)
2.2 Construction of training datasets withKOMPSAT satellite imagery
3. Conclusion
ACKNOWLEDGMENTS
저자
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