机构

• 地理科学与资源研究... [31]
• 成都山地灾害与环境研... [4]
• 沈阳自动化研究所 [4]
• 新疆理化技术研究所 [3]
• 国家天文台 [3]
• 植物研究所 [3]
• 更多

采集方式

• OAI收割 [61]

内容类型

• 期刊论文 [59]
• 会议论文 [2]

发表日期

• 2019 [61]

学科主题

• Forestry [2]
• Remote Sen... [2]
• Agricultur... [1]
• Agronomy [1]
• Cell Biolo... [1]
• Computer S... [1]
• 更多

筛选

浏览/检索结果: 共61条，第1-10条 帮助 限定条件 发表日期：2019     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 Unsupervised learning of human action categories in still images with deep representations 期刊论文  OAI收割 ACM Transactions on Multimedia Computing, Communications and Applications, 2019, 卷号: 15, 期号: 4 作者:  Zheng, Yunpeng;  Li, Xuelong;  Lu, Xiaoqiang   |  收藏  |  浏览/下载：38/0  |  提交时间：2020/01/17 Action categorization  unsupervised learning  deep representations   A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods 期刊论文  OAI收割 CATENA, 2019, 卷号: 183, 页码: 17 作者:  Zhu, A-Xing;  Miao, Yamin;  Liu, Junzhi;  Bai, Shibiao;  Zeng, Canying   |  收藏  |  浏览/下载：26/0  |  提交时间：2020/05/19 Landslide absence data  Sampling method  Data-driven methods  Landslide susceptibility mapping, similarity model, data mining and machine learning   A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods 期刊论文  OAI收割 CATENA, 2019, 卷号: 183, 页码: 17 作者:  Zhu, A-Xing;  Miao, Yamin;  Liu, Junzhi;  Bai, Shibiao;  Zeng, Canying   |  收藏  |  浏览/下载：10/0  |  提交时间：2020/05/19 Landslide absence data  Sampling method  Data-driven methods  Landslide susceptibility mapping, similarity model, data mining and machine learning   Land cover dynamic change in the Napahai Basin using the optimized random forest model 期刊论文  OAI收割 JOURNAL OF APPLIED REMOTE SENSING, 2019, 卷号: 13, 期号: 4, 页码: 18 作者:  Bai, Chunyu;  He, Hongming;  Li, Yu;  He, Wenming;  Zhao, Hongfei   |  收藏  |  浏览/下载：28/0  |  提交时间：2020/05/19 remote sensing interpretation  optimized random forest model  land cover  wetland landscape   Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 21, 页码: 20 作者:  Wu, Hua;  Ying, Wangmin   |  收藏  |  浏览/下载：18/0  |  提交时间：2020/05/19 net surface shortwave radiation  MODIS  FLUXNET  Random Forest  Artificial Neural Network  Support Vector Regression   A Machine Learning Approach to Crater Classification from Topographic Data 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 21, 页码: 30 作者:  Liu, Qiangyi;  Cheng, Weiming;  Yan, Guangjian;  Zhao, Yunliang;  Liu, Jianzhong   |  收藏  |  浏览/下载：26/0  |  提交时间：2020/05/19 moon  distinguish primary craters from secondary craters  machine learning  crater characteristics   The Effect of NDVI Time Series Density Derived from Spatiotemporal Fusion of Multisource Remote Sensing Data on Crop Classification Accuracy 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 11, 页码: 17 作者:  Sun, Rui;  Chen, Shaohui;  Su, Hongbo;  Mi, Chunrong;  Jin, Ning   |  收藏  |  浏览/下载：36/0  |  提交时间：2020/05/19 support vector machine  classification accuracy  remote sensing  random forest   Forest-Type Classification Using Time-Weighted Dynamic Time Warping Analysis in Mountain Areas: A Case Study in Southern China 期刊论文  OAI收割 FORESTS, 2019, 卷号: 10, 期号: 11, 页码: 18 作者:  Cheng, Kai;  Wang, Juanle   |  收藏  |  浏览/下载：52/0  |  提交时间：2020/05/19 forest type  time-weighted dynamic time warping  random forest  support vector machine  mountain area  southern China   Forest-Type Classification Using Time-Weighted Dynamic Time Warping Analysis in Mountain Areas: A Case Study in Southern China 期刊论文  OAI收割 FORESTS, 2019, 卷号: 10, 期号: 11, 页码: 18 作者:  Cheng, Kai   |  收藏  |  浏览/下载：5/0  |  提交时间：2020/05/19 forest type  time-weighted dynamic time warping  random forest  support vector machine  mountain area  southern China   A Machine Learning Approach to Crater Classification from Topographic Data 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 21, 页码: 30 作者:  Liu, Qiangyi;  Cheng, Weiming   |  收藏  |  浏览/下载：6/0  |  提交时间：2020/05/19 moon  distinguish primary craters from secondary craters  machine learning  crater characteristics