The application of high spatial resolution remote sensing image for vegetation type recognition in dagou valley
文献类型：会议论文
| 作者 | Aqiang, Yang1,2; Chuang, Liu1; Jianrong, Fan3; Jinling, Zhao1,2; Jing, Tan1,2 |
| 出版日期 | 2008 |
| 会议日期 | June 28, 2008 - June 29, 2008 |
| 会议地点 | Guangzhou |
| 关键词 | high spatial resolution remote sensing SPOT5 MLC |
| 卷号 | 7147 |
| DOI | 10.1117/12.813215 |
| 页码 | 71470F |
| 国家 | China |
| 英文摘要 | This paper present a detail processing procedure about SPOT5 image applied for vegetation typerecognition, and determines the capacity of high spatial resolution satellite image data to discriminatevegetation type in a complex ecosystem. A high spatial resolution SPOT5 image, captured in April 2005, and coincident field data covering the Dagou valley, was used in this analysis. Image geometric rectification and image fusion are then introduced to take prepare for classification. Subsequently, a maximum likelihood classification algorithm was applied to the SPOT5 image data to map the vegetationclasses. Field validation and accuracy assessment are crucial to ensure the reliability of classification results.The strategy of field work and the resulting accuracy evaluations were presented, and yielded the highclassification accuracy (overall accuracy=83.86%, Kappa=80.23%). The result showed that the information on vegetation types can be mapped effectively from high spatial resolution satellite image data. |
| 源文献作者 | SPIE |
| 产权排序 | 2 |
| 会议录 | Proceedings of SPIE - The International Society for Optical Engineering
 |
| 语种 | 英语 |
| ISSN号 | 0277786X |
| 源URL | [http://ir.imde.ac.cn/handle/131551/25948]  |
| 专题 | 成都山地灾害与环境研究所_成都山地所知识仓储（2009年以前） |
| 作者单位 | 1.Institute of Geographical Science and Natural Resources Research, CAS, Beijing 100101, China; 2.Graduate University, Chinese Academy of Sciences, Beijing 100049, China; 3.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China |
| 推荐引用方式 GB/T 7714 | Aqiang, Yang,Chuang, Liu,Jianrong, Fan,et al. The application of high spatial resolution remote sensing image for vegetation type recognition in dagou valley[C]. 见:. Guangzhou. June 28, 2008 - June 29, 2008. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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