中国科学院机构知识库网格系统: 检索

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	Recovering Bathymetry From Satellite Altimetry-Derived Gravity by Fully Connected Deep Neural Network 期刊论文 OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5 作者: Yang, Lei; Liu, Min; Liu, Na; Guo, Jinyun; Lin, Lina \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2023/12/07 Gravity Bathymetry Satellites Geology Altimetry Geologic measurements Sea measurements convolutional neural network (CNN) fully connected deep neural network (FC-DNN) gravity gravity-geological method satellite altimetry
	A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974 作者: Jin, Shichao; Sun, Yanjun; Zhao, Xiaoqian; Hu, Tianyu; Guo, Qinghua \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/03/01 Digital terrain model (DTM) deep learning fully convolutional neural network (FCN) ground filtering light detection and ranging (LiDAR)
	Background Subtraction Using Multiscale Fully Convolutional Network 期刊论文 OAI收割 Ieee Access, 2018, 卷号: 6, 页码: 16010-16021 作者: Zeng, D. D.; Zhu, M. \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2019/09/17 Background subtraction convolutional neural network multiscale fully convolutional network video surveillance density-estimation Computer Science Engineering Telecommunications
	Semantic labeling of high-resolution aerial images using an ensemble of fully convolutional networks 期刊论文 OAI收割 JOURNAL OF APPLIED REMOTE SENSING, 2017, 卷号: 11, 期号: 4, 页码: 042617 1-18 作者: Sun, Xiaofeng; Shen, Shuhan; Lin, Xiangguo; Hu, Zhanyi \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2018/10/09 Semantic Labeling Fully Convolutional Network Aerial Images Convolutional Neural Network Ensemble Learning
	MFC: A Multi-scale Fully Convolutional Approach for Visual Instance Retrieval 会议论文 OAI收割 Hong Kong, 10-14 July 2017 作者: Hao, Jiedong; Wang, Wei; Dong, Jing; Tan, Tieniu \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2018/05/31 Visual Instance Retrieval Image Resizing Strategy Multi-scale Representation Fully Convolutional Neural Network
	Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields 会议论文 OAI收割 Athens, Greece, 2016-10 作者: Zhao XM(赵晓梅); Wu YH(吴毅红); Song Guidong; Li Zhenye; Fan Y(范勇) \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/05/07 Brain Tumor Segmentation Magnetic Resonance Image Fully Convolutional Neural Network Conditional Random Fields Recurrent Neural Network