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| 热红外目标的多标度分形识别模型 | |
| 引用本文： | 张立福,杨杭,房丛卉,潘懋.热红外目标的多标度分形识别模型[J].武汉大学学报(信息科学版),2012,37(3):339-342. |
| 作者姓名： | 张立福 杨杭 房丛卉 潘懋 |
| 作者单位： | 1. 北京大学地球与空间科学学院,北京市颐和园路5号100871／中国科学院遥感应用研究所遥感科学国家重点实验室,北京市大屯路3号100101 2. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京市大屯路3号,100101 3. 中国地质大学（北京）地球科学与资源学院,北京市学院路29号,100083 4. 北京大学地球与空间科学学院,北京市颐和园路5号,100871 |
| 基金项目： | 国家863计划重点资助项目，国家自然科学基金资助项目 |
| 摘 要： | 利用机载热红外成像光谱仪（TASI）获取的热红外图像,进行了温度与比辐射率分离,然后采用多标度分形模型进行阈值分割,建立了一种新的热红外影像目标探测方法。实验结果表明,温度的空间分布具有多标度分形特征,即对lgL（r）与lgr进行分段拟合。利用多标度分形模型提取的温度阈值进行城市热红外影像的精细目标识别,并成功提取了建筑物目标。 |
| 关 键 词： | 多标度分形 热红外 目标精细识别 温度 |
Thermal Infrared Target Recognition Using Multi-scale Fractal Model |
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| 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. | |
| Authors: | ZHANG Lifu YANG Hang FANG Conghui PAN Mao |
| Institution: | 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) |
| Abstract: | 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. |
| Keywords: | multi-scale fractal model thermal infrared fine recognition temperature |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |