A spatio-temporal model for forest fire detection using HJ-IRS satellite data
文献类型：期刊论文
| 作者 | Lin, Lei1; Meng, Yu1; Yue, Anzhi1; Yuan, Yuan1; Liu, Xiaoyi1; Chen, Jingbo1; Zhang, Mengmeng1; Chen, Jiansheng1 |
| 刊名 | Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:5 |
| 关键词 | HIGH-RESOLUTION AMSR-E RETRIEVAL IMAGERY CHINA SMOS |
| 通讯作者 | Meng, Yu (mengyu@radi.ac.cn) |
| 英文摘要 | Fire detection based on multi-temporal remote sensing data is an active research field. However, multi-temporal detection processes are usually complicated because of the spatial and temporal variability of remote sensing imagery. This paper presents a spatio-temporal model (STM) based forest fire detection method that uses multiple images of the inspected scene. In STM, the strong correlation between an inspected pixel and its neighboring pixels is considered, which can mitigate adverse impacts of spatial heterogeneity on background intensity predictions. The integration of spatial contextual information and temporal information makes it a more robust model for anomaly detection. The proposed algorithm was applied to a forest fire in 2009 in the Yinanhe forest, Heilongjiang province, China, using two-month HJ-1B infrared camera sensor (IRS) images. A comparison of detection results demonstrate that the proposed algorithm described in this paper are useful to represent the spatio-temporal information contained in multi-temporal remotely sensed data, and the STM detection method can be used to obtain a higher detection accuracy than the optimized contextual algorithm. © 2016 by the authors. |
| 学科主题 | Remote Sensing |
| 类目[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20162302468717 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39209]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100101, China 3. University of Chinese Academy of Sciences, Beijing 4.100049, China 5. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 6.100029, China |
| 推荐引用方式 GB/T 7714 | Lin, Lei,Meng, Yu,Yue, Anzhi,et al. A spatio-temporal model for forest fire detection using HJ-IRS satellite data[J]. Remote Sensing,2016,8(5). |
| APA | Lin, Lei.,Meng, Yu.,Yue, Anzhi.,Yuan, Yuan.,Liu, Xiaoyi.,...&Chen, Jiansheng.(2016).A spatio-temporal model for forest fire detection using HJ-IRS satellite data.Remote Sensing,8(5). |
| MLA | Lin, Lei,et al."A spatio-temporal model for forest fire detection using HJ-IRS satellite data".Remote Sensing 8.5(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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