The extraction of plantation with texture feature in high resolution remote sensing image
文献类型：会议论文
| 作者 | Chen, Gong; Liang, Shouzhen; Chen, Jingsong |
| 出版日期 | 2014 |
| 会议名称 | 3rd International Workshop on Earth Observation and RemoteSensing Applications, EORSA 2014 |
| 会议地点 | Changsha |
| 英文摘要 | Remote sensing technology is widely used in land cover survey. In this experiment, firstly VSVI (vegetation sample-based vegetation index) method is used to extractthe forests in experiment area, and then adding texture feature to distinguish the natural forest and plantation in forests class. Then average contrast of objects (ACO) method is used to determine the best scale of chessboard segmentation when classify, and classification accuracy of different scales is compared. It is proved that the optimal segmentation scale through ACO and the best classification results have certain consistency, and achieved high classification accuracy.(10 refs) |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6034]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Chen, Gong,Liang, Shouzhen,Chen, Jingsong. The extraction of plantation with texture feature in high resolution remote sensing image[C]. 见:3rd International Workshop on Earth Observation and RemoteSensing Applications, EORSA 2014. Changsha. |
入库方式： OAI收割
来源：深圳先进技术研究院
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