Thermal Anomaly Detection of Industrial Zones with MNF and ICA

نویسندگان

چکیده

Thermal anomalies can be detected with the help of imagery provided by satellite systems such as Advanced Spaceborne Emission and Reflection Radiometer (ASTER). ASTER provides five thermal bands for effective analysis anomalies. In order to achieve this goal, considering physical phenomena, many signal processing methods algorithms used. study, depending on studied area, heat characteristics extent are presented using four days data from daytime nighttime scenes. define Land Surface Temperature (LST) was estimated inverse Planck function approach all TIR bands. Minimum Noise Fraction (MNF) Independent Component Analysis (ICA) were applied infrared (TIR) The results MNF ICA components show location industrial complexes especially in

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ژورنال

عنوان ژورنال: Turkish journal of geosciences

سال: 2021

ISSN: ['2717-7696']

DOI: https://doi.org/10.48053/turkgeo.811887