Received date: 2010-12-11
Revised date: 2011-07-31
Online published: 2011-09-10
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.
Liu Rui, Sun Jiulin, Wang Juanle, Liao Xiuying . Data Quality Evaluation of Chinese HJ CCD Sensor[J]. Advances in Earth Science, 2011 , 26(9) : 971 -979 . DOI: 10.11867/j.issn.1001-8166.2011.09.0971
[1] Zhao Shuhe, Feng Xuezhi, Zhao Rui. Evaluation on data quality and geometric correction of China-Brazil resources satellite No.1 data in Nanjing area[J]. Remote Sensing Technology and Application, 2000, 15(3): 170-174.[赵书河, 冯学智, 赵锐. 中巴资源一号卫星南京幅数据质量与几何纠正评价[J]. 遥感技术与应用, 2000, 15(3): 170-174.]
[2] Wang Qinjun, Tian Qingjiu. Quality evaluation of LISS3 image from IRS-P6 satellite[J]. Geography and Geo-Information Science, 2007, 23(3): 11-14.[王钦军, 田庆久. IRS-P6卫星LISS3图像数据质量评价[J]. 地理与地理信息科学, 2007, 23(3): 11-14.]
[3] Yang Zhongdong, Gu Songyan, Qiu Hong, et al. CBERS-1′s CCD image quality evaluating and cross calibrating study[J]. Journal of Remote Sensing, 2004, 8(2): 113-120.[杨忠东, 谷松岩, 邱红, 等. 中巴地球资源一号卫星 CCD 图像质量评价和交叉定标研究[J]. 遥感学报, 2004, 8(2): 113-120.]
[4] Thomson G. Evaluation of Russian Arkon-2 Earth observation satellite[J]. The Imaging Science Journal, 2005, 53(3): 163-173.
[5] Jia Fujuan, Wu Yanlin, Huang Ying, et al. Design and on-orbit application of CCD camera on HJ-1A/1B Saterllites[J]. Spacecraft Engneering, 2009(6): 37-42. [贾福娟, 吴雁林, 黄颖, 等. 环境减灾-1A、1B卫星宽覆盖多光谱CCD相机技术[J]. 航天器工程, 2009(6): 37-42.]
[6] Zhang Zengxiang, Wang Xiao, Wang Changyao, et al. National land cover mapping by remote sensing under the control of interpreted data[J]. Journal of Geo-Information Science, 2009, 11(2): 216-224.[张增祥, 汪潇, 王长耀, 等. 基于框架数据控制的全国土地覆盖遥感制图研究[J]. 地球信息科学学报, 2009, 11(2): 216-224.]
[7] Gutman G, Byrnes R, Masek J, et al. Towards monitoring land-cover and land-use changes at a global scale: The global land survey 2005[J]. Photog Rammetric Engineering and Remote Semsomg, 2008, 74(1): 6-10.
[8] Franks S, Masek J, Headley R, et al. Large Area Scene Selection Interface(LASSI) methodology of selecting landsat imagery for the global land survey 2005[J]. Photogrammetric Engineering and Remote Sensing, 2009, 75(11): 1 287-1 296.
[9] Wang Xinmin, Zhang Lei. Analysis of geometric fidelity of systematically corrected Landsat-5 TM image data[J]. Remote Sensing of Environment China, 1989, 4(4): 293-299.[王新民,章蕾. 陆地卫星五号TM图像系统纠正产品的几何精度分析[J]. 环境遥感, 1989, 4(4): 293-299.]
[10] Wang Xinmin, Shao Beien, Dai Zixin, et al. An accuracy comparison between the geodetically corrected TM images produced by our landsat ground station and U.S. NOAA[J]. Remote Sensing of Environment China, 1987, 2(1): 73-79.[王新民, 邵贝恩, 戴自忻,等. 我国陆地卫星地面站与美国NOAA的大地校正TM图像产品的精度比较[J]. 环境遥感, 1987, 2(1): 73-79.]
[11] Zhang Xia, Zhang Bing, Zhao Yongchao, et al. Image quality assessment for the infrared Multi-Spectral scanner of the Chinese-Brazil Earth resources satellite[J]. Journal of Image and Graphics, 2002, 7(A)(6): 581-586.[张霞, 张兵, 赵永超, 等. 中巴地球资源一号卫星多光谱扫描图象质量评价[J]. 中国图象图形学报, 2002, 7(A)(6): 581-586.]
[12] Liu Jiangui, Zheng Lanfen, Tong Qingxi. Estimation of signal to noise ratio of remote sensing images[J]. Journal of Basic Science and Engineering, 1999, 7(4): 360-365.[刘建贵, 郑兰芬,童庆禧. 遥感图象信噪比的估算[J]. 应用基础与工程科学学报, 1999, 7(4): 360-365.]
[13] Wang Hongnan, Zhong Wen, Wang Jing, et al. Research of measurement for digital image definition[J]. Journal of Image and Graphics, 2004, 9(7): 829-831.[王鸿南, 钟文, 汪静, 等. 图像清晰度评价方法研究[J]. 中国图象图形学报, 2004, (7):829-931.]
[14] Cheng Jicheng, Guo Huadong, Shi Wenzhong. Uncertainty of Remote Sensing Data[M]. Beijing: Science Press,2004.[承继成, 郭华东, 史文中. 遥感数据的不确定性问题[M]. 北京: 科学出版社,2004.]
[15] Lin Zongjian, Zhang Yonghong. Measurement of information and uncertainty of remote sensing and GIS data[J]. Geomatics and Information Science of Wuhan University, 2006, 31(7): 569-572.[林宗坚, 张永红. 遥感与地理信息系统数据的信息量及不确定性[J]. 武汉大学学报: 信息科学版, 2006, 31(7): 569-572.]
[16] Balboa R,Grzywacz N. Power spectra and distribution of contrasts of natural images from different habitats[J]. Vision Research, 2003, 43(24): 2 527-2 537.
[17] Chander G, Markham B L,Helder D L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors[J]. Remote Sensing of Environment, 2009, 113(5): 893-903.
[18] Zhu Yunqiang, Sun Jiulin, Song Jia, et al. E-Geoscience research and practice—A case show of north eastern Asia joint scientific exploration and cooperative research platform[J]. Advances in Earth Science, 2011, 26(1): 66-74.[诸云强, 孙九林, 宋佳, 等. 地学e-Science研究与实践——以东北亚联合科学考察与合作研究平台构建为例[J]. 地球科学进展, 2011, 26(1): 66-74.]
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