ZHANG Lifu, YANG Hang, FANG Conghui, PAN Mao. Thermal Infrared Target Recognition Using Multi-scale Fractal Model[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 339-342.
Citation:
ZHANG Lifu, YANG Hang, FANG Conghui, PAN Mao. Thermal Infrared Target Recognition Using Multi-scale Fractal Model[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 339-342.
ZHANG Lifu, YANG Hang, FANG Conghui, PAN Mao. Thermal Infrared Target Recognition Using Multi-scale Fractal Model[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 339-342.
Citation:
ZHANG Lifu, YANG Hang, FANG Conghui, PAN Mao. Thermal Infrared Target Recognition Using Multi-scale Fractal Model[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 339-342.
1 School of Earth and Space Sciences,Peking University,5 Yiheyuan Road,Beijing 100871,China;2 The State Key Laboratory of Remote Sensing Sciences,Institute of Remote Sensing Applications, Chinese Academy of Sciences,3 Datun Road,Beijing 100101,China;3 School of the Earth Sciences and Resources,China University of Geosciences(Beijing),29 Xueyuan Road,Beijing 100083,China
Using the thermal infrared image acquired by thermal airborne hyperspectral imager(TASI),temperature and emissivity are separated.And target fine recognition based on temperature image using multi-scale fractal model was studied.Experimental results show that there is a positive correlation between fractal dimension and complexity of temperature spatial heterogeneity.Spatial distribution of temperature has a character of multi-scale fractal.Multi-scale fractal method was used to extract the thresholds,and extract the edge feature of building successfully.This method has an important value on classification,information extraction,and scale effect.
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