机构

• 地理科学与资源研究所 [6]
• 成都山地灾害与环境研... [2]
• 长春光学精密机械与物... [2]
• 西安光学精密机械研究... [2]
• 计算技术研究所 [1]
• 新疆生态与地理研究所 [1]
• 更多

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [8]
• 会议论文 [7]
• 中文期刊论文 [1]

发表日期

• 2023 [1]
• 2022 [2]
• 2020 [1]
• 2014 [3]
• 2012 [2]
• 2010 [2]
• 更多

学科主题

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 RingMo: A Remote Sensing Foundation Model With Masked Image Modeling 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 22 作者:  Sun, Xian;  Wang, Peijin;  Lu, Wanxuan   |  收藏  |  浏览/下载：62/0  |  提交时间：2023/12/04 Foundation model  masked image modeling (MIM)  pretraining  remote sensing (RS)  self-supervised  Vision Transformer (ViT)   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：28/0  |  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：17/0  |  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   Remote Sensing Scene Classification by Gated Bidirectional Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 1, 页码: 82-96 作者:  Sun, Hao;  Li, Siyuan;  Zheng, Xiangtao;  Lu, Xiaoqiang   |  收藏  |  浏览/下载：73/0  |  提交时间：2020/04/14 Feature extraction  Nonhomogeneous media  Logic gates  Aggregates  Encoding  Interference  Task analysis  Feature aggregation  remote sensing (RS) image  scene classification   Peatland area change in the southern Altay Mountains over the last twenty years based on GIS and RS analysis 期刊论文  OAI收割 FRONTIERS OF EARTH SCIENCE, 2014, 卷号: 8, 期号: 4, 页码: 558-563 作者:  Li, Huan;  Xu, Dingyi;  Zhao, Yan   |  收藏  |  浏览/下载：25/0  |  提交时间：2019/09/26 Rs Image  Dem Image  Gis Analysis  Peatland Area Change  The Altay Mountains   Peatland area change in the southern Altay Mountains over the last twenty years based on GIS and RS analysis 期刊论文  OAI收割 FRONTIERS OF EARTH SCIENCE, 2014, 卷号: 8, 期号: 4, 页码: 558-563 作者:  Li, Huan;  Xu, Dingyi;  Zhao, Yan   |  收藏  |  浏览/下载：13/0  |  提交时间：2019/09/26 Rs Image  Dem Image  Gis Analysis  Peatland Area Change  The Altay Mountains   Peatland area change in the southern Altay Mountains over the last twenty years based on GIS and RS analysis 期刊论文  OAI收割 FRONTIERS OF EARTH SCIENCE, 2014, 卷号: 8, 期号: 4, 页码: 558-563 作者:  Li, Huan;  Xu, Dingyi;  Zhao, Yan   |  收藏  |  浏览/下载：20/0  |  提交时间：2019/09/26 Rs Image  Dem Image  Gis Analysis  Peatland Area Change  The Altay Mountains   Research on fusion approach for hyperspectral image and Multispectral image of HJ-1A 会议论文  OAI收割 2011 International Conference on Energy, Environment and Sustainable Development, Shanghai, China, October 21, 2011 - October 23, 2011 作者:  Guo, Fenfen;  Fan, Jianrong;  Zang, Wenqian;  Liu, Fei;  Zhang, Huaizhen 收藏  |  浏览/下载：25/0  |  提交时间：2016/12/05 3D Wavelet Transform  Fusion  HJ-1A  Hyperspectral Image  RS   Changes analysis on land for construction in Ji'an City, Jiangxi Province, China based on remote sensing data 会议论文  OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012 - Proceedings, 2012 作者:  Li Jiayong 收藏  |  浏览/下载：27/0  |  提交时间：2012/12/01 Industrial research  Civil engineering  Image reconstruction  Remote sensing  Change analysis  China  Ji  Jiangxi Province  RS image   A new method of target recognition based on rough set and support vector machine (EI CONFERENCE) 会议论文  OAI收割 2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010, Xiamen, China 作者:  He X. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine  a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership  so that some samples can be chosen by class membership to be trained. After pre-treatment  an iterative algorithm based on Rough Set and Support Vector Machines (IRSSVM) is introduced to design a classifier for recognizing two types of targets. The experiment results show that IRSSVM needs less training time and the classifier is simpler and has more generalization and higher recognition rate. 2010 IEEE.