机构

• 遥感与数字地球研究... [30]
• 自动化研究所 [7]
• 地理科学与资源研究所 [5]
• 长春光学精密机械与物... [4]
• 计算技术研究所 [3]
• 软件研究所 [2]
• 更多

采集方式

• OAI收割 [57]

内容类型

• 会议论文 [35]
• 期刊论文 [15]
• 学位论文 [4]
• EI期刊论文 [3]

发表日期

• 2022 [6]
• 2021 [1]
• 2020 [1]
• 2019 [1]
• 2018 [1]
• 2017 [4]
• 更多

学科主题

• Computer S... [1]
• Engineerin... [1]
• Geography,... [1]
• Imaging Sc... [1]
• Remote Sen... [1]
• artificial... [1]
• 更多

筛选

浏览/检索结果: 共57条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A Deep Learning Method Based on Two-Stage CNN Framework for Recognition of Chinese Reservoirs with Sentinel-2 Images 期刊论文  OAI收割 WATER, 2022, 卷号: 14, 期号: 22, 页码: 21 作者:  Zhao, Guodongfang;  Yao, Ping;  Fu, Li;  Zhang, Zhibin;  Lu, Shanlong   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/07/12 two-stage CNN framework  recognition of reservoirs  remote sensing  deep learning  Sentinel-2  object detection   Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai 期刊论文  OAI收割 FORESTS, 2022, 卷号: 13, 期号: 5, 页码: 13 作者:  Liu, Xiao;  Wang, Ling;  Li, Langping;  Zhu, Xicun;  Chang, Chunyan   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/09/21 phenological phases  deciduous species  remote-sensing recognition  support vector machine  Mount Tai   Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai 期刊论文  OAI收割 FORESTS, 2022, 卷号: 13, 期号: 5, 页码: 13 作者:  Liu, Xiao;  Wang, Ling;  Li, Langping;  Zhu, Xicun;  Chang, Chunyan   |  收藏  |  浏览/下载：37/0  |  提交时间：2022/09/21 phenological phases  deciduous species  remote-sensing recognition  support vector machine  Mount Tai   FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 184, 页码: 116-130 作者:  Sun, Xian;  Wang, Peijin;  Yan, Zhiyuan;  Xu, Feng;  Wang, Ruiping   |  收藏  |  浏览/下载：37/0  |  提交时间：2022/12/07 Remote sensing images  Fine-grained object detection and recognition  Deep learning  Benchmark dataset  Convolutional neural network (CNN)   Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16 作者:  Liu, Weiwei;  Nie, Xiangli;  Zhang, Bo;  Sun, Xian   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/07/25 Task analysis  Feature extraction  Data models  Computational modeling  Learning systems  Training  Support vector machines  Deep learning  incremental learning  open-set recognition (OSR)  remote sensing (RS) image scene classification   Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16 作者:  Liu, Weiwei;  Nie, Xiangli;  Zhang, Bo;  Sun, Xian   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/02/07 Task analysis  Feature extraction  Data models  Computational modeling  Learning systems  Training  Support vector machines  Deep learning  incremental learning  open-set recognition (OSR)  remote sensing (RS) image scene classification   Recognizing Global Dams From High-Resolution Remotely Sensed Images Using Convolutional Neural Networks 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 6363-6371 作者:  Fang, Weizhen;  Sun, Yiyuan;  Ji, Rui;  Wan, Wei;  Ma, Lei   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/12/01 Dams  Image recognition  Remote sensing  Earth  Training  Internet  Object recognition  Convolutional neural networks (CNNs)  dams  deep learning  Google earth  object recognition   A Framework for Land Use Scenes Classification Based on Landscape Photos 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: 6124-6141 作者:  Xu, Shiwu;  Zhang, Shihui;  Zeng, Jue;  Li, Tingyu;  Guo, Qinghua   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/03/01 Semantics  Remote sensing  Image analysis  Image segmentation  Object recognition  Machine learning  Forestry  Deep convolutional neural networks (DCNNs)  landscape photos  land survey  land use scene classification   Scene classification of high-resolution remote sensing images based on IMFNet 期刊论文  OAI收割 Journal of Applied Remote Sensing, 2019, 卷号: 13, 期号: 4, 页码: 21 作者:  X.Zhang;  Y.C.Wang;  N.Zhang;  D.D.Xu;  B.Chen   |  收藏  |  浏览/下载：25/0  |  提交时间：2020/08/24 image processing,remote sensing,artificial intelligence,pattern,recognition,scene classification,convolutional neural-networks,deep,Environmental Sciences & Ecology,Remote Sensing,Imaging Science &,Photographic Technology   A Comparison: Different DCNN Models for Intelligent Object Detection in Remote Sensing Images 期刊论文  OAI收割 Neural Processing Letters, 2018, 卷号: 0, 页码: 2019-01-11 作者:  Ding, Peng;  Zhang, Ye;  Jia, Ping;  Chang, Xu-ling   |  收藏  |  浏览/下载：12/0  |  提交时间：2019/09/17 Remote sensing  Computer vision  Convolution  Deep learning  Deep neural networks  Neural networks  Object detection  Object recognition  Space optics