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短波红外波段高温目标识别的可行性分析

DOI: 10.6046/gtzyyg.2014.01.05, PP. 25-30

Keywords: 短波红外,高温目标,常温地物,可行性分析

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Abstract:

目前主要采用热红外遥感数据识别高温目标,研究发现短波红外数据也具有较好的高温目标识别能力。在高温目标混合像元中,高温地物的温度和面积是待求解的未知数,也是决定混合像元波谱特性的重要参数。首先基于能量守恒原理建立了地表高温目标混合像元的辐射能量方程,然后进行方程参数的敏感性分析。研究结果表明,高温目标面积百分比和常温地物反射率对高温地物的温度和面积反演最为敏感。以山西保德和陕西府谷研究区ETM+第7波段的数据为例进行了高温目标识别研究,所识别的火点像元辐射通量密度为背景的1.36~4.76倍。经野外验证,用马氏距离法识别高温目标的精度达到88%,表明短波红外波段的遥感数据可用于高温目标的识别。

References

[1]  肖霞.基于类间方差的MODIS森林火灾监测方法研究[D].合肥:中国科学技术大学, 2010. Xiao X.The study of an improved method for forest fire detection based on variance between-class[D].Hefei:University of Science and Technology of China, 2010.
[2]  赵彬, 赵文吉, 潘军, 等.NOAA-AVHRR数据在吉林省东部林火信息提取中的应用[J].国土资源遥感, 2010(1):77-80. Zhao B, Zhao W J, Pan J, et al.The application of NOAA-AVHRR to forest fire detection in eastern Jilin Province[J].Remote Sensing for Land and Resources, 2010(1):77-80.
[3]  刘安涛.地表热异常遥感温度反演[D].长春:吉林大学, 2007. Liu A T.Land surface temperature retrieval of the hot abnormity on remote sensing[D].Changchun:Jilin University, 2007.
[4]  朱亚静, 邢立新, 潘军, 等.短波红外遥感高温地物目标识别方法研究[J].遥感信息, 2011(6):33-36, 41. Zhu Y J, Xing L X, Pan J, et al.Method of identifying high-temperature target using shortwave infrared remote sensing data[J].Remote Sensing Information, 2011(6):33-36, 41.
[5]  Barducci A, Guzzi D, Marcoionni P, et al.Comparison of fire temperature retrieved from SWIR and TIR hyperspectral data[J].Infrared Physics and Technology, 2004, 46(1/2):1-9.
[6]  Matheson P S, Malheson D S.Comparison of fire temperature and fractional area modeled from SWIR, MIR, and TIR multispectral and SWIR hyperspectral airborne data[J].Remote Sensing of Environment, 2011, 115(3):876-886.
[7]  冯钟葵.关于地物辐射值的计算问题[J].中国遥感卫星地面站:用户简讯, 2002(49):1. Feng Z K.Estimation problem about the surface features radiation value[J].Remote Sensing Satellite Earth Station of China:User News Brief, 2002(49):1.
[8]  Chen F L, Zhuang J L, Xu X R, et al.The concept of effective emissivity of nonisothermal mixed pixel and its test[J].Chinese Science Bulletin, 2000, 45(9):788-795.
[9]  Berk A, Anderson G P, Acharya P K, et al.Modtran4 user's manual[M].Air Force Research Laboratory, 1991:11-53.
[10]  Pan J, Xing L X, Wen J C, et al.Inversion method study on short wave infrared remote sensing data high temperature surface feature temperature[C]//Processing of the 2nd International Congress on Image and Signa Processing, Tainijin:IEEE, 2009:1-4.
[11]  刘诚, 李亚军, 赵长海, 等.气象卫星亚像元火点面积和亮温估算方法[J].应用气象学报, 2004, 15(3):273-280. Liu C, Li Y J, Zhao C H, et al.The method of evaluating sub-pixel size and temperature of fire spot in AVHRR data[J].Journal of Applied Meteorolgical Science, 2004, 15(3):273-280.
[12]  孔祥生, 苗放, 刘鸿福, 等.遥感技术在监测和评价土法炼焦污染源中的应用[J].成都理工大学学报:自然科学版, 2005, 32(1):92-96. Kong X S, Miao F, Liu H F, et al.Application research of remote sensing technique in monitoring pollution source by digenous coke-production[J].Journal of Chengdu University of Technology:Science and Technology Edition, 2005, 32(1):92-96.
[13]  纪宏金.地球化学背景与异常划分的多元方法[J].长春地质学院学报, 1988, 18(3):311-320. Ji H J.Multivariate method for distinguishing geochemical background from geochemical anomalies[J].Journal of Changchun University of Earth Science, 1988, 18(3):311-320.
[14]  纪宏金.多元正态总体假设检验在矿化带识别中的应用[J].长春地质学院学报, 1991, 21(3):321-326. Ji H J.An application of test of hypothesis of mulitivariate normal population to mineralization zone recogniztion[J]. Journal of Changchun University of Earth Science, 1991, 21(3):321-326.

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