| 环境与灾害监测预报小卫星CCD数据质量评价 |
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| 引用本文： | 刘睿,孙九林,王卷乐,廖秀英.环境与灾害监测预报小卫星CCD数据质量评价[J].地球科学进展,2011,26(9):971-979. |
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| 作者姓名： | 刘睿 孙九林 王卷乐 廖秀英 |
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| 作者单位： | 1. 重庆师范大学地理科学学院,重庆400047／资源与环境信息系统国家重点实验室,中国科学院地理科学与资源研究所,北京100101
2. 资源与环境信息系统国家重点实验室,中国科学院地理科学与资源研究所,北京100101 |
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| 基金项目： | 国家自然科学基金项目“基于ISO元数据扩展模型的土地覆盖分类体系构建及语义转换”(编号:40801180); 科技基础性工作专项项目“中国北方及其毗邻地区综合科学考察”(编号:SB2007FY442); 环境保护部公益性行业专项“面向我国环境管理的环境变化信息集成与服务系统”(编号:201109075)资助 |
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| 摘 要： | 中国环境与灾害监测预报小卫星星座双星4部CCD传感器具备大范围、全天时环境与灾害监测等方面的能力,在空间覆盖与重复观测频率方面有很大的优势。结合美国陆地卫星TM数据,从几何精度、辐射质量2个方面定量分析了该卫星CCD传感器的数据质量。结果表明：①环境减灾卫星CCD数据无波段错位现象,有极小的畸变与扭曲（0.05%）,然...
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| 关 键 词： | 几何精度 辐射质量 清晰度 信息熵 功率谱 |
Data Quality Evaluation of Chinese HJ CCD Sensor |
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| Liu Rui,Sun Jiulin,Wang Juanle,Liao Xiuying.Data Quality Evaluation of Chinese HJ CCD Sensor[J].Advance in Earth Sciences,2011,26(9):971-979. |
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| Authors: | Liu Rui Sun Jiulin Wang Juanle Liao Xiuying |
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| Institution: | 1. College of Geographical Science, Chongqing Normal University, Chongqing 400047, China;;
2. State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | The Chinese environmental mitigation HJ satellite CCD sensors are capable of large area and all-time monitoring,and have a great advantage in coverage and frequency of repeated observations.However,as a relative newly remote sensing sensor,it is essential to evaluate the data quality for further applications.Based on the introduction of HJ CCD sensor and combined with LandSat TM data,the geometry accuracy and radiance quality of HJ CCD data was quantitative evaluated in this paper.The results showed that: ①There is no deviation between the 4 bands of HJ CCD,and compared with TM,very small geometric distortion is detected(0.05%).However,there′s large geometric error in both X and Y direction.②There is no obvious difference in radiation range and signal to noise ratio between the two sensors,but the image sharpness of CCD data can only achieve about half of TM,which leads to application limitation for object recognition and feature extraction,etc.③The CCD data is rich in amount of information,and standard false colour composition of band 4,3,2 is the best band combination choice.Meanwhile,the power spectral of CCD data guaranteed the abundant texture feature,which will ensure the application accuracy in studies such as classification.④Near infrared and red band showed the best quality between the CCD bands,and followed by green and blue band. |
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| Keywords: | Geometric accuracy Radiance quality Image sharpness Information entropy Power Spectral |
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