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北京航空航天大学 仪器科学与光电工程学院 精密光机电一体化技术教育部重点实验室 北京,100191
收稿日期:2010-11-22,
修回日期:2011-01-15,
网络出版日期:2011-06-25,
纸质出版日期:2011-06-25
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赵慧洁, 秦宝龙, 贾国瑞. 高光谱遥感系统调制传递函数的在轨测试[J]. 光学精密工程, 2011,19(6): 1235-1243
ZHAO Hui-jie, QIN Bao-long, JIA Guo-rui. On-orbit detection for modulation transfer function of hyperspectral remote sensing system[J]. Editorial Office of Optics and Precision Engineering, 2011,19(6): 1235-1243
赵慧洁, 秦宝龙, 贾国瑞. 高光谱遥感系统调制传递函数的在轨测试[J]. 光学精密工程, 2011,19(6): 1235-1243 DOI: 10.3788/OPE.20111906.1235.
ZHAO Hui-jie, QIN Bao-long, JIA Guo-rui. On-orbit detection for modulation transfer function of hyperspectral remote sensing system[J]. Editorial Office of Optics and Precision Engineering, 2011,19(6): 1235-1243 DOI: 10.3788/OPE.20111906.1235.
为了实现高光谱遥感系统调制传递函数(MTF)的在轨测试
以色散推扫型高光谱遥感系统为例分析了系统的像质退化因素并研究了MTF检测方法和流程。首先
分析了色散型高光谱遥感系统MTF三维可分性原理。然后
针对高光谱遥感图像信噪比一般较低的特点
提出了一种抗噪声的MTF检测方法;又根据该图像波段众多的特点
提出了高光谱图像刀刃法MTF测试区域的选择标准。最后
以PHI遥感图像为例对所提出的方法进行了检验。用本文提出的方法对PHI图像进行MTF提取
利用提取出的MTF对原退化图像进行了恢复。结果显示
各波段图像平均梯度提高了67.1%
细节信号能量提高了65.2%
结果证明了MTF检测方法的有效性。
In order to realize the measurement for Modulation Transfer Function(MTF) of an on-orbit hyperspectral remote sensing system
factors of image quality degradation of the system were analyzed and the detection method for MTF was discussed by taking the dispersive hyperspectral remote sensing system for an example. Firstly
the three-dimensional separability of the MTF of the dispersive hyperspectral remote sensing system was illustrated.Then
an anti-noise MTF detecting technique was proposed concerning the charateristic of the low signal-to-noise ratio of the hyperspectral remote sensing system. A criterion of selecting MTF detection region was also proposed based on the large quantity of the bands in hyperspectral systems. Finally
the proposed methods were demonstrated by using the PHI remote sensing images and the PHI degraded images were restored with the detected MTF. Experimental results indicate that the average gradient has been improved by 67.1% and the detail-signal energy improved by 65.2%
which proves the effectiveness of the proposed method.
杨国鹏,余旭初,冯伍法,等. 高光谱遥感技术的发展与应用现状[J]. 测绘通报,2008,10:1-4. YANG G P, YU X C, FENG W F, et al.. The development and application of hyperspectral RS technology [J]. Bullein of Surveying and Mapping, 2008,10:1-4. (in Chinese)[2] 郑玉权,王慧,王一凡. 星载高光谱成像仪光学系统的选择与设计[J]. 光学 精密工程,2009,17(11):2609-2637. ZHENG Y Q, WANG H, WANG Y F. Selection and design of optical systems for spaceborne hyperspectral imagers [J]. Opt. Prescision Eng., 2009,17(11):2609-2637. (in Chinese)[3] 李幼平,禹秉熙,韩昌元,等. 成像光谱仪工程权衡优化设计的光学结构[J]. 光学 精密工程,2006,14(6):974-979. LI Y P, YU B X HAN Ch Y, et al.. Tradeoff optimization designs of optical configuration on imaging spectrometer [J]. Opt. Prescision Eng., 2006,14(6):974-979 . (in Chinese)[4] SCHOWENGERDT R A, ARCHWAMETY C, WRIGLEY R C. Landsat thematic mapper image-derived MTF [J]. Photogrammetric Engineering and Remote Sensing, 1985,51(9):1395-1406.[5] CHOI T. IKONOS satellite on orbit Modulation Transfer Function (MTF) measurement using edge and pulse method . Brookings:South Dakota State University, 2002.[6] XU Q Y, ROBERT A. Schowengerdt, urban targets for image quality analysis of high resolution satellite imaging systems[J]. SPIE, 2003,5108:31-38.[7] 童庆禧,张兵,郑兰芬. 高光谱遥感[M]. 北京:高等教育出版社,2006:49-52. TONG Q X, ZHANG B, ZHENG L F. Hyperspectral Remote Sensing [M]. Beijing: Higher Education Press, 2006:49-52. (in Chinese)[8] KOHM K. Modulation transfer function measurement method and results for the orbview-3 high resultion imaging satellite.[J].Proceedings of ISPRS 2004, Istanbul, Turkey, July 12-23, 2004.[9] 顾行发,李小英,闵祥军,等. CBERS-02卫星CCD相机MTF在轨测量及图像MTF补偿[J]. 中国科学E辑,2005,35(1):26-40. GU X F, LI X Y, MIN X J, et al.. On-orbit MTF estimation and compensation for CCD image of CBERS-02 Satellite [J]. Science in China Series E, 2005,35(1):26-40. (in Chinese)[10] NUGENT P W,SHAW J A,KEHOE M. Measuring the modulation transfer function of imaging spectrometers at infinite focus with roof-line images [J].SPIE, 2007,6661:66610M-1-66610M-8.[11] SCHOTT J R. Remote Sensing -The Image Chain Approach[M]. Oxford:Oxford University Express,2007.[12] 林中,范世福.光谱仪器学[M]. 北京:机械工业出版社,1989. LIN ZH, FAN SH F. Spectral Instruments [M]. Beijing: China Machine Press, 1989. (in Chinese)[13] ALEJANDRA U,MIGUEL V. Restoration of hyperspectral imagery[J].SPIE,2006,6233:62340A-1 -62340A-10.[14] 蔡新明.基于卫星遥感图像的MTF计算和分析 . 南京理工大学,2007. CAI X M.MTF estimation and analysis based on remote sensing images of satellite .Nanjing:Nanjing University of Techology,2007.(in Chinese)[15] 孙蕾,罗建书,谷德峰. 基于谱间预测和码流预分配的高光谱图像压缩算法[J]. 光学 精密工程,2008,16(4):752-757. SUN L, LUO J SH, GU D F, et al.. Hyperspectral image compressing algorithm based on prediction between bands and rate pre-allocation [J]. Opt. Prescision Eng., 2008,16(4):752-757. (in Chinese)[16] 陈强,戴奇燕,夏德深. 基于MTF理论的遥感图像复原[J]. 中国图象图形学报, 2006,11(9):1209-1305. CHEN Q, DAI Q Y, XIA D SH. Restoration of remote sensing images based on MTF theory [J]. Journal of Image and Graphics, 2006,11(9):1209-1305. (in Chinese)
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