Climate Change Data Portal
| DOI | 10.5194/isprs-archives-XLII-3-W7-25-2019 |
| A Fit-for-Purpose algorithm for Environmental Monitoring based on Maximum likelihood, Support Vector Machine and Random Forest | |
| Jamali, Ali | |
| 发表日期 | 2019 |
| ISSN | 2194-9034 |
| 卷号 | 42-3期号:W7页码:25-32 |
| 英文摘要 | Due to concerns of recent earth climate changes such as an increase of earth surface temperature and monitoring its effect on earth surface, environmental monitoring is a necessity. Environmental change monitoring in earth sciences needs land use land cov |
| 关键词 | Image classificationEarth ObservationSupport Vector MachineRandom ForestR |
| 学科领域 | Geography, Physical;Remote Sensing;Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000466552600005 |
| 来源期刊 | ISPRS TECHNICAL COMMISSION III WG III/2, 10 JOINT WORKSHOP MULTIDISCIPLINARY REMOTE SENSING FOR ENVIRONMENTAL MONITORING
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/82695 |
| 作者单位 | Apadana Inst Higher Educ, Fac Surveying Engn, Shiraz, Iran |
| 推荐引用方式 GB/T 7714 | Jamali, Ali. A Fit-for-Purpose algorithm for Environmental Monitoring based on Maximum likelihood, Support Vector Machine and Random Forest[J],2019,42-3(W7):25-32. |
| APA | Jamali, Ali.(2019).A Fit-for-Purpose algorithm for Environmental Monitoring based on Maximum likelihood, Support Vector Machine and Random Forest.ISPRS TECHNICAL COMMISSION III WG III/2, 10 JOINT WORKSHOP MULTIDISCIPLINARY REMOTE SENSING FOR ENVIRONMENTAL MONITORING,42-3(W7),25-32. |
| MLA | Jamali, Ali."A Fit-for-Purpose algorithm for Environmental Monitoring based on Maximum likelihood, Support Vector Machine and Random Forest".ISPRS TECHNICAL COMMISSION III WG III/2, 10 JOINT WORKSHOP MULTIDISCIPLINARY REMOTE SENSING FOR ENVIRONMENTAL MONITORING 42-3.W7(2019):25-32. |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Jamali, Ali]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Jamali, Ali]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Jamali, Ali]的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
