MULTI-TEMPORAL CLOUD AND SNOW DETECTION ALGORITHM FOR THE HJ-1A/B CCD IMAGERY OF CHINA
文献类型：会议论文
| 作者 | Bian Jinhu1 ; Li Ainong1; Jin Huaan1; Zhao Wei1; Lei Guangbin1; Huang Chengquan2
|
| 出版日期 | 2014 |
| 会议日期 | JUL 13-18, 2014 |
| 会议地点 | Quebec City |
| 关键词 | Multi-temporal cloud/snow detection HJ-1A/B CCD Regional covariance matrix |
| DOI | 10.1109/IGARSS.2014.6946469 |
| 页码 | 501-504 |
| 国家 | CANADA |
| 英文摘要 | How to accurately detect cloud and snow in the remote sensing imagery is an open problem for the remote sensing application. For only visible and near infrared band in HJ-1A/B CCD images, the cloud detection algorithm using the shortwave infrared and thermal infrared band is restricted by the band-lacking problem. Based on the multi-temporal information of the HJ-1A/B CCD images, a new algorithm is proposed in this paper. Using available images in one month, a cloud-free reference image was firstly composed. Then, the cloud and snow pixel are separated through the difference of the blue band between the reference and each date. Subsequently, the regional covariance matrix is computed further to eliminate the non-cloud pixels. The test result shows that, the overall accuracy is about 85.96% to 93%. It indicates that the proposed method can integrate the temporal and texture information to improve detection accuracy for the cloud and snow. |
| 产权排序 | 1 |
| 会议录 | 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISSN号 | 2153-6996 |
| ISBN号 | 978-1-4799-5775-0 |
| WOS记录号 | WOS:000349688100128 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/35248]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Li Ainong |
| 作者单位 | 1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China; 2.Department of Geography, University of Maryland, 2181 LeFrak Hall, College Park, MD, United States |
| 推荐引用方式 GB/T 7714 | Bian Jinhu,Li Ainong,Jin Huaan,et al. MULTI-TEMPORAL CLOUD AND SNOW DETECTION ALGORITHM FOR THE HJ-1A/B CCD IMAGERY OF CHINA[C]. 见:. Quebec City. JUL 13-18, 2014. |
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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