从红外遥感图像提取地下热信息的透热指数法  

HEAT PENETRABILITY INDEX (HPI) METHOD FOR DISTILLING SUBSURFACE THERMAL INFORMATION FROM SATELLITE INFRARED IMAGES

作　　者：刘培洵[1] 刘力强[1] 陈顺云[1] 陈国强[1] 马瑾[1] 

机构地区：[1]中国地震局地质研究所

出　　处：《地震地质》2004年第3期519-527,共9页Seismology and Geology

基　　金：国家自然科学基金重大研究计划 (90 2 0 2 0 1 8);中国地震局专项经费资助

摘　　要：红外遥感影像主要反映的是地表温度。然而气象因素对地表温度的影响远大于来源于地下的地质因素 ,可能存在的地下热异常信号淹没在气象信息之中。如何从中提取地下热信息 ,成为一个关键问题。文中由热传导理论出发 ,根据地下热信号通过不同热扩散率材料传到地表时将产生较大时间差的特点 ,提出了提取地下热异常的新指标“透热指数”。通过对实验数据和遥感数据的试算 ,分析了使用“透热指数”After a series of complicated modifications the surface temperature of the Earth can be measured. Usually this surface temperature is referred to as land surface temperature. The heat effect that engenders this temperature variation may come from the climate and subsurface heat sources. Among them, the subsurface heat sources are of particular importance to earthquake and active fault studies. Unfortunately, the heat effect of climate is much larger than that of the subsurface heat sources so that it may conceal the information of subsurface thermal activity. Heat Penetrability Index (HPI) method is proposed in this paper for measuring subsurface thermal activity. The first assumption for HPI method is that the sun is heating the land surface synchronously. The second is the horizontal variation of heat exchange rates of rocks on top of subsurface heat sources. Provided that the rocks are heated, then the variation of surface temperature can be observed. According to the afore mentioned concepts and thermodynamics, the HPI can be deduced through correlation analysis as expressed by:D=1-∑ni=1(u-)(v-)∑ni=1(u-) 2∑ni=1(v-) 2where u and v represent surface temperature in two different areas, n is the sample number in the scanning window and D is the Heat Penetrability Index. When subsurface heating event takes place, D will go up, and vice versa. Some examples from experiment and satellite infrared image analysis are presented to test the effectiveness of HPI method.

关 键 词：红外遥感 图像处理 地热 透热指数法 断层活动 

分 类 号：P315.72[天文地球—地震学]