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REMOTE SENSING FOR LAND & RESOURCES    2014, Vol. 26 Issue (1) : 17-24     DOI: 10.6046/gtzyyg.2014.01.04
Technology and Methodology |
Characteristic analysis and quality assessment of ZY-3 multi-spectral image
LI Lin1, LUO Heng1, TANG Xinming2, LI Zhen1
1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China;
2. Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geo-Information, Beijing 100830, China
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Abstract  

Research on image characteristics and quality of ZY-3 satellite multi-spectral data was performed in comparison with SPOT5 HRG(high resolution geometric)satellite data. Subjective quality assessment was employed to compare the image quality, and the differences were analyzed by calculating data range, mean and standard deviation from gray scale statistics of the three distinct areas; on such a basis, the multi-spectral radiometric characteristics were investigated, and histograms of typical ground objects in these areas were selected for comparison. By calculating the correlation index between different bands of ZY-3 and SPOT5 images, the band correlation assessment was made. Through refining texture characteristics, such as homogeneity, contrast, entropy and angular second moment of these two images, their textural qualities were assessed. The results show that, though the high correlation between ZY-3's bands in vegetation makes its vegetation extraction capability lower than that of SPOT5, ZY-3 multi-spectral image, it still has a better performance in the aspect of water and building extraction potential and it has advantage in image quality and texture characteristics, so it can be used as base map for different applications in different fields.

Keywords fuzzy classification      burned area      HJ-1B     
:  TP75  
Issue Date: 08 January 2014
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ZHU Xi
QIN Xianlin
LIAO Jing
Cite this article:   
ZHU Xi,QIN Xianlin,LIAO Jing. Characteristic analysis and quality assessment of ZY-3 multi-spectral image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 17-24.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.01.04     OR     https://www.gtzyyg.com/EN/Y2014/V26/I1/17

[1] 李德仁.我国第一颗民用三线阵立体测图卫星——资源三号测绘卫星[J].测绘学报, 2012, 41(3):317-322. Li D R.China's first civilian three-line-array stereo mapping satellite:ZY-3[J].Acta Geodaetica et Cartographica Sinica, 2012, 41(3):317-322.

[2] 刘斌, 孙喜亮, 邸凯昌, 等.资源三号卫星传感器校正产品定位精度验证与分析[J].国土资源遥感, 2012, 24(4):36-40. Liu B, Sun X L, Di K C, et al.Accuracy analysis and validation of ZY-3's sensor corrected products[J].Remote Sensing for Land and Resources, 2012, 24(4):36-40.

[3] 唐新明, 张过, 祝小勇, 等.资源三号测绘卫星三线阵成像几何模型构建与精度初步验证[J].测绘学报, 2012, 41(2):191-198. Tang X M, Zhang G, Zhu X Y, et al.Triple linear-array imaging geometry model of Ziyuan-3 surveying satellite and its validation[J].Acta Geodaetica et Cartographica Sinica, 2012, 41(2):191-198.

[4] 杨元元, 王鸿南, 汪静, 等.CBERS-1卫星超期图像数据质量评价研究[J].航天返回与遥感, 2003, 24(4):34—39. Yang Y Y, Wang H N, Wang J, et al.Research on the quality of exceed images provided by CBERS-1 satellite[J].Space Recovery and Remote Sensing, 2003, 24(4):34-39.

[5] Baltsavias E P, Pateraki M, Zhang L.Radiometric and geometric evaluation of IKONOS GEO-images and their use for 3D building modeling[C]//Proceedings of Joint ISPRS Workshop on High Resolution Mapping from Space 2001, Hannover, Germany:ISPRS 2001.

[6] 翟亮, 唐新明, 李霖.遥感影像压缩的构像质量评价[J].测绘与空间地理信息, 2006, 29(6):46-48. Zhai L, Tang X M, Li L.Image quality assessment for compressed remote sensing images[J].Geomatics and Spatial Information Technology, 2006, 29(6):46-48.

[7] Crespi M, De Vendictis L.A procedure for high resolution satellite imagery quality assessment[J].Sensors, 2009, 9(5):3289-3313.

[8] 周雨霁, 田庆久, 张雪红.CBERS-02B卫星CCD数据质量评价与植被分类应用潜力[J].遥感信息, 2008(6):47-52. Zhou Y J, Tian Q J, Zhang X H.CBERS-02B CCD image data quality evaluation and application potential for vegetation classification[J].Remote Sensing Information, 2008(6):47-52.

[9] 杨忠东, 古松岩, 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. Yang Z D, Gu S Y, Qiu H, et al.CBERS-1's CCD image quality evaluating and cross calibrating study[J].Journal of Remote Sensing, 2004, 8(2):113-120.

[10] 冯晋臣, 赵荣堂, 张石新.多波段遥感信息的数据压缩处理及其信道相关性的研究[J].通信学报, 1984, 7(3):52-28. Feng J C, Zhao R T, Zhang S X.The studies of data compression processing and channel correlation of multispectral remote sensing[J].Journal on Communications, 1984, 7(3):52-58.

[11] 卢健, 彭嫚, 卢昕.遥感图像相关性及其熵计算[J].武汉大学学报:信息科学版, 2006, 31(6):476-480. Lu J, Peng M, Lu X.Relativity of remote sensing images and entropy calculation[J].Geomatics and Information Science of Wuhan University, 2006, 31(6):476-480.

[12] 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(6):581-586. Zhang X, Zhang B, Zhao Y C, 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(6):581-586.

[13] 汪静, 杨媛媛, 王鸿南, 等.CBERS-1卫星02星图像数据质量评价[J].航天返回与遥感, 2004, 25(2):34-38. Wang J, Yang Y Y, Wang H N, et al.The quality evaluation of the image date of CBERS-1 No.2 satellite[J].Space Recovery and Remote Sensing, 2004, 25(2):34-38.

[14] 刘江, 张为成, 王强.MODIS影像质量评价方法研究[J].黑龙江工程学院学报:自然科学版, 2009, 23(1):32-35. Liu J, Zhang W C, Wang Q.The study on image quality assessment for MODIS data[J].Journal of Heilongjiang Institute of Technology:Natural Science, 2009, 23(1):32-35.

[15] 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. Wang Q J, Tian Q J.Quality evaluation of LISS3 image from IRS-P6 satellite[J].Geography and Geo-Information Science, 2007, 23(3):11-14

[16] 何宇华, 谢俊奇, 刘顺喜.ALOS卫星遥感数据影像特征分析及应用精度评价[J].地理与地理信息科学, 2008, 24(2):23-26. He Y H, Xie J Q, Liu S X.Image characteristics analysis and application accuracy assessment of ALOS data[J].Geography and Geo-Information Science, 2008, 24(2):23-26.

[17] 何中翔, 王明富, 杨世洪, 等.遥感图像客观质量评价方法研究[J].工程图学学报, 2011, 32(6):47-52 He Z X, Wang M F, Yang S H, et al.Research on objective quality assessment of remote sensing image[J].Journal of Engineering Graphics, 2011, 32(6):47-52

[18] Zhang B, Chen Z C, Li J S.Image quality evaluation on Chinese first earth observation hyperspectral satellite[C]//Proceedings of 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Gape Town:IEEE, 2009, 1:I-188-I-191.

[19] 徐文, 葛曙乐, 龙小祥, 等."资源三号"卫星三线阵相机辐射质量评价[J].航天返回与遥感, 2012, 33(3):65-74. Xu W, Ge S L, Long X X, et al.Radiometric image quality assessment of ZY-3 TLC camera[J].Space Recovery and Remote Sensing, 2012, 33(3):65-74.

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