机构

• 地理科学与资源研究所 [7]
• 自动化研究所 [7]
• 国家空间科学中心 [2]
• 数学与系统科学研究院 [2]
• 力学研究所 [1]
• 长春光学精密机械与物... [1]
• 更多

采集方式

• OAI收割 [22]

内容类型

• 期刊论文 [15]
• 会议论文 [3]
• 学位论文 [3]
• SCI/SSCI论文 [1]

发表日期

• 2024 [1]
• 2023 [1]
• 2022 [3]
• 2021 [1]
• 2020 [2]
• 2019 [1]
• 更多

学科主题

• 微波遥感 [2]
• Environmen... [1]

筛选

浏览/检索结果: 共22条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Machine Learning-Based Fine Classification of Agricultural Crops in the Cross-Border Basin of the Heilongjiang River between China and Russia 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 10, 页码: 1670 作者:  Liu, Meng;  Wang, Juanle;  Fetisov, Denis;  Li, Kai;  Xu, Chen   |  收藏  |  浏览/下载：129/0  |  提交时间：2024/07/12 crop classification  food security  Sentinel-2  random forest  sample label   Precise measurement method of carrier motion state in microgravity environment 期刊论文  OAI收割 MEASUREMENT, 2023, 卷号: 222, 页码: 17 作者:  Liu, Mingyue;  Zhu, Huizhong;  Xu, Xinchao;  Ma, Youqing;  Zhang, Shuo   |  收藏  |  浏览/下载：51/0  |  提交时间：2023/11/28 Multi-camera calibration  Stereo vision  Extraction of homonymous points  Random Sample Consensus (RANSAC)  Carrier motion state   Mapping irrigated croplands in China using a synergetic training sample generating method, machine learning classifier, and Google Earth Engine 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 卷号: 112, 页码: 13 作者:  Zhang, Chao;  Dong, Jinwei;  Xie, Yanhua;  Zhang, Xuezhen;  Ge, Quansheng   |  收藏  |  浏览/下载：70/0  |  提交时间：2022/09/21 Irrigation  China  Training sample pool  MODIS  Google Earth Engine  Random forest   Mapping irrigated croplands in China using a synergetic training sample generating method, machine learning classifier, and Google Earth Engine 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 卷号: 112, 页码: 13 作者:  Zhang, Chao;  Dong, Jinwei;  Xie, Yanhua;  Zhang, Xuezhen;  Ge, Quansheng   |  收藏  |  浏览/下载：50/0  |  提交时间：2022/09/21 Irrigation  China  Training sample pool  MODIS  Google Earth Engine  Random forest   An Improved Phase Correlation Subpixel Remote Sensing Registration Algorithm Using Probability-Guided RANSAC 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5 作者:  Dong, Yunyun;  Liang, Chenbin;  Sun, Zengguo   |  收藏  |  浏览/下载：75/0  |  提交时间：2022/07/25 Correlation  Task analysis  Training  Convolution  Remote sensing  Image registration  Neural networks  Image registration  phase correlation  probability-guided  random sample consensus (RANSAC)   Mapping Essential Urban Land Use Categories in Beijing with a Fast Area of Interest (AOI)-Based Method 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 3, 页码: 22 作者:  Li, Xiaoting;  Hu, Tengyun;  Gong, Peng;  Du, Shihong;  Chen, Bin   |  收藏  |  浏览/下载：42/0  |  提交时间：2021/04/25 area of interest  urban land use  sample collection  building scale  random forest   The spatial statistic trinity: A generic framework for spatial sampling and inference 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2020, 卷号: 134, 页码: 11 作者:  Wang, Jinfeng;  Gao, Bingbo;  Stein, Alfred   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/03/16 Population and sample  Spatial autocorrelation (SAC)  Spatial stratified heterogeneity (SSH)  Variable and random variable  Spatial statistic trinity (SST)   The spatial statistic trinity: A generic framework for spatial sampling and inference 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2020, 卷号: 134, 页码: 11 作者:  Wang, Jinfeng;  Gao, Bingbo;  Stein, Alfred   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/03/16 Population and sample  Spatial autocorrelation (SAC)  Spatial stratified heterogeneity (SSH)  Variable and random variable  Spatial statistic trinity (SST)   Strategic allocation of test units in an accelerated degradation test plan 期刊论文  OAI收割 JOURNAL OF QUALITY TECHNOLOGY, 2019, 卷号: 51, 期号: 1, 页码: 64-80 作者:  Ye, Zhi-Sheng;  Hu, Qingpei;  Yu, Dan   |  收藏  |  浏览/下载：68/0  |  提交时间：2019/03/11 compromise test plan  general path model  large sample approximate variance  order statistics  random initial degradation  reliability   Robust parameter estimation from point cloud data with noises for augmented reality 会议论文  OAI收割 36th Chinese Control Conference, CCC 2017, Dalian, China, July 26-28, 2017 作者:  Zhang TH(张天浩);  Wei YZ(魏英姿);  Shi, Zhengjin;  Gu KF(谷侃锋)   |  收藏  |  浏览/下载：48/0  |  提交时间：2017/11/15 Point clouds  Attitude estimation  Model reconstruction  Augmented reality  Random sample consensus