机构

• 地理科学与资源研究所 [4]
• 自动化研究所 [3]
• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [9]

内容类型

• 期刊论文 [8]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2023 [2]
• 2022 [2]
• 2021 [3]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共9条，第1-9条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Autonomous Extraction Technology for Aquaculture Ponds in Complex Geological Environments Based on Multispectral Feature Fusion of Medium-Resolution Remote Sensing Imagery 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 22, 页码: 4130 作者:  Liang, Zunxun;  Wang, Fangxiong;  Zhu, Jianfeng;  Li, Peng;  Xie, Fuding   |  收藏  |  浏览/下载：20/0  |  提交时间：2025/01/17 aquaculture ponds  Sentinel-2 image  deep learning  multiscale convolution  self-attention mechanism  complex geological environment   A Novel Hybrid Method for Urban Green Space Segmentation from High-Resolution Remote Sensing Images 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 23, 页码: 5472 作者:  Wang, Wei;  Cheng, Yong;  Ren, Zhoupeng;  He, Jiaxin;  Zhao, Yingfen   |  收藏  |  浏览/下载：28/0  |  提交时间：2024/01/04 urban green space  deep learning  high-resolution remote sensing images  multiscale pooling attention  feature engineering   Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908 作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/23 Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge   MSF-Net: A Multiscale Supervised Fusion Network for Building Change Detection in High-Resolution Remote Sensing Images 期刊论文  OAI收割 IEEE ACCESS, 2022, 卷号: 10, 页码: 30925-30938 作者:  Chen, Jiahao;  Fan, Junfu;  Zhang, Mengzhen;  Zhou, Yuke;  Shen, Chen   |  收藏  |  浏览/下载：49/0  |  提交时间：2022/09/21 Buildings  Feature extraction  Decoding  Remote sensing  Fuses  Encoding  Convolution  Remote sensing  building change detection  deep learning  attention mechanism  multiscale feature   MSF-Net: A Multiscale Supervised Fusion Network for Building Change Detection in High-Resolution Remote Sensing Images 期刊论文  OAI收割 IEEE ACCESS, 2022, 卷号: 10, 页码: 30925-30938 作者:  Chen, Jiahao;  Fan, Junfu;  Zhang, Mengzhen;  Zhou, Yuke;  Shen, Chen   |  收藏  |  浏览/下载：55/0  |  提交时间：2022/09/21 Buildings  Feature extraction  Decoding  Remote sensing  Fuses  Encoding  Convolution  Remote sensing  building change detection  deep learning  attention mechanism  multiscale feature   MRDDANet: A Multiscale Residual Dense Dual Attention Network for SAR Image Denoising 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 13 作者:  Liu, Shuaiqi;  Lei, Yu;  Zhang, Luyao;  Li, Bing;  Hu, Weiming   |  收藏  |  浏览/下载：62/0  |  提交时间：2022/01/27 Noise reduction  Radar polarimetry  Feature extraction  Speckle  Transforms  Synthetic aperture radar  Image denoising  Dual attention network  feature extraction  multiscale  synthetic aperture radar (SAR) image denoising   Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 页码: 5 作者:  Zhang, Zhong;  Yang, Shuzhen;  Liu, Shuang;  Xiao, Baihua;  Cao, Xiaozhong   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/01/27 Clouds  Databases  Decoding  Cloud computing  Convolutional neural networks  Computer architecture  Training  Attention module  cloud detection  multiscale module  Tianjin Normal University (TJNU) cloud detection database (TCDD)   Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images 期刊论文  OAI收割 IEEE Journal of Biomedical and Health Informatics, 2021, 卷号: 25, 期号: 5, 页码: 1336-1346 作者:  Li, Jingxiong;  Wang, Yaqi;  Wang, Shuai;  Wang, Jun;  Liu J(刘军)   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/02/27 COVID-19  X-ray Radiology  Multiscale Attention  Convolutional Neural Network   Layered graphene on surface of carbon fiber (EI CONFERENCE) 会议论文  OAI收割 8th International Vacuum Electron Sources Conference, IVESC 2010 and NANOcarbon 2010, October 14, 2010 - October 16, 2010, Nanjing, China 作者:  Wang W.;  Wang W. 收藏  |  浏览/下载：55/0  |  提交时间：2013/03/25 Carbon nanomaterials have attracted considerable attention and interest owing to the unique physical and chemical properties. Such as nanodiamonds  carbon nanofibers  carbon nanotubes (CNTs)  graphene and so on  they all have potential applications as field electron emission materials  electrode materials  storage hydrogen materials and composite materials. In this paper we reported the growth of layered graphene(LG) on carbon fibers surface. The LG synthesized on carbon fibers may have potential applications in many fields. For example  using to improve the electric conductivity and chemical stability of carbon fibers substrate  the grown LG can be applied as high performance capacitor  battery  field emission electron source  hydrogen storage owing to large ratio surface and hybrid multiscale composite. 2010 IEEE.