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国土资源遥感  2013, Vol. 25 Issue (3): 138-144    DOI: 10.6046/gtzyyg.2013.03.23
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
祁连山和首都圈卫星热红外背景场变化特征
温少妍1,2, 屈春燕2, 单新建2, 闫丽莉2, 宋冬梅3
1. 新疆维吾尔自治区地震局, 乌鲁木齐 830011;
2. 中国地震局地质研究所地震动力学 国家重点实验室, 北京 100029;
3. 中国石油大学(华东), 青岛 266555
Satellite thermal infrared background field variation characteristics of the Qilian Mountains and the Capital Zone
WEN Shaoyan1,2, QU Chunyan2, SHAN Xinjian2, YAN Lili2, SONG Dongmei3
1. Earthquake Administration of Xinjiang Uygur Autonomous Region, Urumqi 830011, China;
2. State Key Laboratory of Earthquake Dynamics, Institute of Geology, CEA, Beijing 100029, China;
3. China University of Petroleum(East China), Qingdao 266555,China
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摘要 

掌握非震情况下的热红外亮温背景场及其时空变化规律是有效提取地震红外异常信息的关键。利用2003—2011年NOAA卫星夜间热红外遥感数据构建祁连山和首都圈亮温背景场,分析其时空演化特征。结果表明: 红外亮温背景场受季节、地形和断裂活动等多种因素的影响,其中受季节变化影响最大,年变规律明显; 不同地理环境,亮温年变特征呈现不同形式,对于地形地貌复杂的地区,亮温变化曲线不稳定,红外亮温与地面高程呈显著的负相关关系,地面高程每增加100 m,亮温降低约0.21~0.63℃,这与我国气温直减率基本一致; 活动断裂带在红外图像上表现为明显的高亮温线性条带或亮温分界带; 多年平均背景场平滑了气候等突变信息,呈现出稳定性较强的规律性变化特征,为断裂活动和地震所引起的增温异常检测提供了稳定的亮温变化基准场。

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李雪
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关键词 信息传递特征映射模式变化检测面向对象    
Abstract

Understanding the thermal infrared background field and its temporal-spatial evolution characteristics under the condition of no earthquake is the key to the effective extraction of infrared anomaly information related to earthquake. The brightness temperature background fields in the study areas of the Qilian Mountains and the Capital Zone were established using NOAA satellite thermal infrared remote sensing data from 2003 to 2011. At the same time,the temporal-spatial evolution characteristics of infrared brightness temperature background fields were analyzed. The results show that the background field of brightness temperature is influenced jointly by many factors,such as seasonal variation,terrain,and fault activity. Seasonal variation is the most important factor affecting infrared brightness temperature which has the obvious annual variation feature. In consideration of geographical environment difference,the characteristics of annual variation show different manners. The brightness temperature changes unstably in the region where topographical features are complicated. The relationship between the infrared brightness temperature and the elevation shows prominent negative correlation,and the brightness temperature is reduced by about 0.21~0.63℃ with the increase of 100 m in ground elevation,which is in accordance with the temperature lapse rate. The active fault belts obviously display linear belts or the boundary of the brightness temperature in the thermal infrared temperature images. Studies show the variation characteristics of the multi-annual average background field which smoothes some climate change information such as atmosphere, and this field is regarded as a stable reference field of brightness temperature to detect the temperature-increase anomaly caused by fault activity and earthquake.

Key wordsinformation transformation    characteristic mapping pattern    change detection    object-oriented
收稿日期: 2012-09-21      出版日期: 2013-07-03
:  TP 79  
基金资助:

国家自然科学基金项目(编号: 41111140386)、新疆地震科学基金项目(编号: 201203)、国家地震数据共享项目(编号: 2005FKA32500)和高分辨率雷达遥感地震应用研究项目(编号: E0311-1112-JS02)共同资助。

通讯作者: 屈春燕(1966- ),女,研究员,主要从事InSAR及红外遥感技术应用研究。 E-mail: dquchy@sohu.com。
作者简介: 温少妍(1985- ),女,硕士,主要从事GIS及遥感在地学中的应用研究。 E-mail: wenshaoyan999@163.com。
引用本文:   
温少妍, 屈春燕, 单新建, 闫丽莉, 宋冬梅. 祁连山和首都圈卫星热红外背景场变化特征[J]. 国土资源遥感, 2013, 25(3): 138-144.
WEN Shaoyan, QU Chunyan, SHAN Xinjian, YAN Lili, SONG Dongmei. Satellite thermal infrared background field variation characteristics of the Qilian Mountains and the Capital Zone. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 138-144.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2013.03.23      或      https://www.gtzyyg.com/CN/Y2013/V25/I3/138

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