图 书 馆
利用Sentinel 2卫星图像和温度数据进行早期土地覆盖分类Early land cover classification with Sentinel 2 satellite images and temperature data |
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| 课程网址: | http://videolectures.net/sikdd2019_cerin_satellite_images/ |
| 主讲教师: | Matej Čerin |
| 开课单位: | Jožef Stefan研究所 |
| 开课时间: | 2019-11-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The weather is one of the main factors for events that happen on the surface of the earth. Surprisingly, no effort was made to use weather features together with satellite images for land cover classiffication. In the paper, we use temperature data along with satellite images to improve the accuracy of the classiffication and to get classiffication as early in the year as possible. Every year has different conditions, so the temperature can be used as an objective criterion at what time to do classiffication. |
| 关 键 词: | 数据挖掘; 利用Sentinel 2卫星图像; 温度数据进行早期土地覆盖分类 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-09-14：cyh |
| 最后编审: | 2022-09-19：cyh |
| 阅读次数: | 21 |