21 January 1985 Radiometric Calibration And Image Processing Of Landsat Tm Data To Improve Assessment Of Thermal Signatures
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Abstract
Absolute radiometric analysis of Landsat Thematic Mapper (TM) thermal infrared image data requires processing to remove atmospheric effects and knowledge of target material type in order to obtain kinetic surface temperatures. Results are presented in which a modified version of the LOWTRAN-5A atmospheric propagation model is used to remove atmospheric effects. Target emissivities are estimated by using shorter wavelength bands of the TM sensor to outline general land cover classes, and assigning an emissivity to the land cover type. By combining atmospheric effects, emissivity, and internal radiometric calibration data, surface temperature images have been generated. These images include corrections for internal sensor calibration, emissivity, upwelled radiance, and atmospheric transmission. These techniques have been implemented using parallel processing methods on an image display system resulting in relatively high image throughput rates. Using the higher resolution short wavelength data in processing the thermal infrared data has an additional advantage in that it gives the appearance of improving the resolution of the thermal infrared data. These displays clearly aid the assessment of thermal signatures.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph D. Biegel, John R. Schott, "Radiometric Calibration And Image Processing Of Landsat Tm Data To Improve Assessment Of Thermal Signatures", Proc. SPIE 0510, Infrared Technology X, (21 January 1985); doi: 10.1117/12.945023; https://doi.org/10.1117/12.945023
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