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地震 ›› 2011, Vol. 31 ›› Issue (2): 59-67.

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区域红外亮温背景场建立方法及初步应用

温少妍1,2, 屈春燕2, 闫丽莉2, 宋冬梅1, 万剑华1, 单新建1   

  1. 1.中国石油大学(华东), 山东 青岛 266555;
    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
  • 收稿日期:2010-10-15 修回日期:2010-12-15 出版日期:2011-04-30 发布日期:2021-09-09
  • 作者简介:温少妍(1985-), 女, 山东招远人, 硕士, 主要从事地理信息系统及遥感在地学中的应用。
  • 基金资助:
    国家科技支撑项目(2008BAC35B03-04)、 行业专项(200708049)和国家自然科学基金(40940020; 40772106)共同资助

Method for Constructing Regional Brightness Temperature Background Field and its Preliminary Aplication

WEN Shao-yan1,2, QU Chun-yan2, YAN Li-li2, SONG Dong-mei1, WAN Jian-hua1, SHAN Xin-jian2   

  1. 1. China University of Petroleum(East China), Qingdao 266555, China;
    2. National Key Laboratory of Earthquake Dynamics, Institute of Geology, CEA, Beijing 100029, China
  • Received:2010-10-15 Revised:2010-12-15 Online:2011-04-30 Published:2021-09-09

摘要: 本文主要利用NOAA/AVHRR热红外亮温图像建立活动构造区域亮温背景场的方法, 对背景场建立过程中NOAA图像的几何精校正、 云和干扰噪点、 噪线的去除等关键问题进行了分析, 并提出相应的解决方法。 在此基础上, 利用多年的NOAA卫星资料, 建立了首都圈地区(38°~42°N, 112°~118°E)的旬、 月、 年不同时间尺度上的亮温背景场, 并进行了分析。 结果表明, 首都圈地区的亮温背景场变化主要受季节和地形因素的影响, 时间维上整体表现为夏高冬低的年变特征, 符合季节变化规律; 空间维上总体表现为东南部华北平原区亮温高, 西北部随海拔高程的增加而亮温逐渐降低为特征。

关键词: 红外遥感, 校正方法, 背景场

Abstract: This paper presents a method for constructing brightness temperature background field based on NOAA/AVHRR thermal datasets in tectonic activity region. We emphatically analyzed some key problems including geometric precision correction, removing the influence of cloud and noise in the process of building background field and the corresponding solution are proposed. On this basis, we established the brightness temperature background field at several scales such as in a period of ten-days, a month and a year in the Capital area of China( 112°~118°E, 38°~42°N ) using NOAA18 thermal infrared images of years. By analyzing the multi-years average background field, we can see that the brightness temperature background field variations are influenced mainly by the season and terrain. In general, the temperature is higher in summer and lower in winter, which agrees with the seasonal changing pattern. And meanwhile it is higher in southeast of north China plain. However, in northwest mountain area, the temperature changes with height contrarily.

Key words: Infrared remote sensing, Brightness temperature, Background field

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