机构

• 自动化研究所 [5]
• 西安光学精密机械研究... [3]
• 地理科学与资源研究所 [2]
• 半导体研究所 [2]
• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]
• 更多

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [10]
• 会议论文 [5]
• 学位论文 [1]

发表日期

• 2024 [1]
• 2023 [1]
• 2022 [2]
• 2020 [2]
• 2019 [2]
• 2018 [1]
• 更多

学科主题

• 光电子学 [2]
• Environmen... [1]
• Imaging Sc... [1]
• Remote Sen... [1]

筛选

浏览/检索结果: 共16条，第1-10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发表日期升序发表日期降序题名升序题名降序作者升序作者降序 CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148 作者:  Wan, Ling;  Tian, Ye   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/02/20 Feature extraction  Task analysis  Remote sensing  Transformers  Deep learning  Semantics  Support vector machines  Category context learning (CCL)  clustering learning (CL)  difference map refinement (DMR)  optical remote sensing image  change detection (CD)   UAV Flight Height Impacts on Wheat Biomass Estimation via Machine and Deep Learning 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 7471-7485 作者:  Zhu, Wanxue;  Rezaei, Ehsan Eyshi;  Nouri, Hamideh;  Sun, Zhigang;  Li, Jing   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/09/07 Agriculture  image resolution  image texture analysis  remote sensing  spectral analysis   Machine Learning Enhanced Optical Spectroscopy for Disease Detection 期刊论文  OAI收割 JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2022, 页码: 12 作者:  Lv, Ruichan;  Wang, Zhan;  Ma, Yaqun   |  收藏  |  浏览/下载：25/0  |  提交时间：2022/11/14 D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16 作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/03/20 Feature extraction  Task analysis  Remote sensing  Semantics  Convolutional neural networks  Deep learning  Visualization  Category-awareness  change detection  optical remote sensing image  threshold learning   Learning vector quantization neural network for surface water extraction from Landsat OLI images 期刊论文  OAI收割 JOURNAL OF APPLIED REMOTE SENSING, 2020, 卷号: 14, 期号: 3, 页码: 15 作者:  Somasundaram, Deepakrishna;  Zhang, Fangfang;  Wang, Shenglei;  Ye, Huping;  Zhang, Zongke   |  收藏  |  浏览/下载：8/0  |  提交时间：2021/03/18 water extraction  water body mapping  learning vector quantization  neural network  machine learning  Landsat 8   Classification of skin cancer based on fluorescence lifetime imaging and machine learning 会议论文  OAI收割 ELECTR NETWORK, 2020-10-11 作者:  Yang, Qianqian;  Qi, Meijie;  Wu, Zhaoqing;  Liu, Lixin;  Gao, Peng   |  收藏  |  浏览/下载：42/0  |  提交时间：2021/06/15 skin cancer  fluorescence lifetime  machine learning  binary classification   Accurate optical vector network analyzer based on optical double-sideband suppressed carrier modulation 期刊论文  OAI收割 Optics Communications, 2019, 卷号: 447, 页码: 61-66 作者:  Dai, Jian;  Chen, Zenghui;  Wang, Xiaoyang;  Ye, Long;  Zhang, Tian   |  收藏  |  浏览/下载：116/0  |  提交时间：2019/06/27 Double-sideband modulation  Pound Drever Hall technique  Optical vector network analysis   Fast and Robust Reconstruction Method for Fluorescence Molecular Tomography based on Deep Neural Network 会议论文  OAI收割 The Moscone Center, San Francisco, California, USA, 2019-02-02 作者:  Huang C(黄超);  Meng Hui;  Kun Wang;  Yuan Gao;  Jie Tian   |  收藏  |  浏览/下载：53/0  |  提交时间：2019/04/29 Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.   Long-term measurement of high Q optical resonators based on optical vector network analysis with Pound Drever Hall technique 期刊论文  OAI收割 OPTICS EXPRESS, 2018, 卷号: 26, 期号: 21, 页码: 26888-26895 作者:  Chen, Zenghui;  Ye, Long;  Dai, Jian;  Zhang, Tian;  Yin, Feifei   |  收藏  |  浏览/下载：51/0  |  提交时间：2018/11/07 Research on Optimization Method of Deep Neural Network 会议论文  OAI收割 LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017, Changchun, China, July 23-25, 2017 作者:  Zhao HC(赵怀慈);  Liu PF(刘鹏飞);  Cao FD(曹飞道)   |  收藏  |  浏览/下载：16/0  |  提交时间：2017/12/21 Deep neural network  object classification  over-fitting  loss function