The study on snow scope monitoring based on active and passive remote sensing data - a case of HJ-1 and ALOS

被引：0
|
作者：
Wu, Wei [1 ,2 ]
Cui, Yan [1 ]
Li, Wenbo [3 ]
Tao, Shu [4 ]
Ru, Weina [5 ]
机构：
[1] Natl Disaster Reduct Ctr China, Dept Satellite Remote Sensing, 6 Guangbaidong Rd, Beijing 100124, Peoples R China
[2] Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China
[3] Chinese Acad Sci, Inst Machine Intelligence, Hefei 230031, Peoples R China
[4] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
[5] China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
来源：
MIPPR 2011: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS | 2011年 / 8003卷
基金：
国家高技术研究发展计划(863计划);
关键词：
Snow disaster; active remote sensing; passive remote sensing; HJ-1; CCD/IRS; ALOS; Normalized Difference Snow Index; information extraction; monitor; COVER; ALGORITHM; DEPTH;
D O I：
10.1117/12.902745
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the snow scope monitoring model based on active and passive remote sensing has been proposed to quantitatively inverse snow coverage range. The proposal model and two kinds of remote sensing data such as HJ-1 CCD/IRS and ALOS/PALSAR images have been employed to extract the snow coverage area in Xilinguole League Inner Mongolia China 2010. The results show that the proposal model has a high precision and can be used in snow disaster monitoring.
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页数：8
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