首页> 外文会议>SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery >Atmospheric Compensation of Thermal Infrared HyperspectralImagery with the Emissive Empirical Line Method and the In-SceneAtmospheric Compensation Algorithms: A Comparison
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Atmospheric Compensation of Thermal Infrared HyperspectralImagery with the Emissive Empirical Line Method and the In-SceneAtmospheric Compensation Algorithms: A Comparison

机译:热红外高光谱常压与发光经验线方法的大气补偿和风景门补偿算法:比较

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The in-scene atmospheric compensation (ISAC) algorithm of Young et al. (2002) [ 14] (and as implemented in theENVI software system [16] as‘ Thermal Atm Correction') is commonly applied to thermal infrared multi- andhyperspectral imagery (MSI and HSI, respectively). ISAC estimates atmospheric transmissivity and upwelling radianceusing only the scene data. The ISAC-derived transmissivity and upwelling radiance are compared to those derived fromthe emissive empirical line method (EELM), another in-scene atmospheric compensation algorithm for thermal infraredMSI and HSI data. EELM is based on the presence of calibration targets (e.g., panels, water pools) captured in thespectral image data for which the emissivity and temperature are well known at the moment of MSI/HSI dataacquisition. EELM is similar in concept to the empirical line method (ELM) algorithm commonly applied tovisible/near-infrared to shortwave infrared (VNIR/SWIR) spectral imagery and is implemented as a custom ENVI plug-in application. Both ISAC and EELM are in-scene methods and do not require radiative transfer modeling. ISAC andEELM have been applied to airborne longwave infrared (LWIR; ~7.5 μm to ~13.5 urn) HSI data. Captured in theimagery are calibration panels and/or water pools maintained at different temperatures facilitating the application ofEELM. Overall, the atmospheric compensation parameters derived from the two methods are in close agreement: theEELM-derived ground-leaving radiance spectra generally contain fewer residual atmospheric spectral features, although1SAC sometimes produces smoother ground-leaving radiance spectra. Nonetheless, the agreement is viewed asvalidation of ISAC. ISAC is an effective atmospheric compensation algorithm that is readily available to the remotesensing community in the ENVI software system. Thus studies such as the present testing and comparing ISAC to othermethods are important. The ISAC and EELM algorithms are discussed as are the airborne LWIR and simulated HSI datato which they are applied. Also presented are analyses and comparisons of the retrieved transmissivity and upwellingradiance terms.
机译:Young等人的场景大气补偿(ISAC)算法。 (2002)[14](并在TheENVI软件系统中实施为“热ATM校正”)通常应用于热红外多和分别的热量散印图像(MSI和HSI)。 ISAC估计大气透射率,仅限于场景数据。将ISAC衍生的透射率和上升辐射进行比较,与发射经验线法(EELM)导出的那些,用于热射频和HSI数据的另一场场景大气补偿算法。 EELM基于在MSI / HSI DataAnacition的时刻众所周知的测量图像数据中捕获的校准靶(例如,面板,水池)的存在,其在MSI / HSI DataAnacition的时刻众所周知。 EELM在概念中类似于经验线方法(ELM)算法通常应用于短波红外(VNIR / SWIR)光谱图像,并且被实现为自定义ENVI插件应用。 isac和eelm都是现场方法,不需要辐射转移建模。 ISAC andeelm已应用于机载的长波红外(LWIR;〜7.5μm至约13.5 urn)HSI数据。在TheImagery中捕获是校准板和/或水池维护在不同温度的促进eAteelm。总体而言,从这两种方法衍生的大气补偿参数紧密协议:避免的地面留辐射谱谱一般包含较少的残余大气光谱特征,但是虽然有时会产生更平滑的地面留辐射光谱。尽管如此,协议被视为ISAC的削弱。 ISAC是一种有效的大气补偿算法,可在ENVI软件系统中恢复敏感社区随时可用。因此,如目前的测试和将ISAC与其他方法的研究是重要的。讨论了ISAC和EELM算法是空中LWIR和模拟的HSI数据。还提供了检索到的透射率和UpwellingRadiance术语的分析和比较。

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