光谱学与光谱分析 |
|
|
|
|
|
Spectral Radiometric Calibration Research of Quick Bird Digital Image |
ZHANG Guo-kun1,2,CHEN Chun1,XING Fu3,ZHANG Hong-yan1*,ZHAO Yun-sheng1 |
1. College of Urban and Environmental Sciences,Northeast Normal University,Changchun 130024,China 2. The Faculty of Tourism and Geographical Science,Jilin Normal University,Siping 136000,China 3. College of Life Sciences,Northeast Normal University,Changchun 130024,China |
|
|
Abstract The present article uses the basic operation of the digital remote image radiometric calibration of the Quickbird with high distinguishing rate,including the physical attribute and the mathematical basement of digital images,the annotation as well as the format of image data. The study makes use of information of spectral radiance from the ground-atmosphere system,which is recorded by the digital remote image of Quick Bird in Honghe area. This dissertation offered the calculation means of radiometric calibration,and changed the pixel digital number into band-integrated radiance. Then,the spectral radiance was calculated. After the radiometric calibration,the Quick Bird image showed the quantitative information of spectral feature from various ground items. Only through the calibration can the Quick Bird image be quantitatively compared and analyzed with other remote sensor images. Thus,the inversion image has the value of application. The significance consists in offering important basic condition for the image amalgamation and better disposal of the special inforation pick-up. This effort also offered spectral information of the ground items for the inversion of the remote image. Therefore,the authors can combine the research of the spectral character of ground items with the establishment of the remote application model in order to quantitatively analyze the ground items.
|
Received: 2007-05-10
Accepted: 2007-08-20
|
|
Corresponding Authors:
ZHANG Hong-yan
E-mail: zhy@nenu.edu.cn
|
|
[1] LIU Fang,WANG Jun-de(刘 芳,王俊德). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(8): 946. [2] Jensen J R. Remote Sensing of the Environment: an Earth Resource Perspective,Upper Saddle River,Prentice-Hall Inc,2000. [3] ZHANG Xiao-can,HUANG Zhi-cai,ZHAO Zhi-hong(章孝灿,黄智才,赵之洪). Digital Remote Sensing Data Processing(遥感数宇图像处理). Hangzhou: Press of Zhejiang University(杭州:浙江大学出版社),1997. [4] SUN Jia-bing,SHU Ning,GUAN Ze-qun(孙家柄,舒 宁,关泽群). Remote Sensing Principle Method and Application(遥感原理、方法和应用). Beijing: Press of Survey and Drawing(北京:测绘出版社),1997. [5] MEI An-xin,PENG Wang-lu,QING Qi-ming,et al(梅安新,彭望,秦其明,等). Remote Sensing Introduction(遥感导论). Beijing: Higher Education Press(北京:高等教育出版社),2001. [6] Jonas Gomes,Luiz Velho. Image Processing for Computer Graphics. Translated by Silvio Levy. New York: Springer-Verlag,2000. [7] MA Ting(马 廷). Remote Sensing Information(遥感信息). 2001,3: 6. [8] WU Lian-xi,LIANG Bo,LIU Xiao-mei. Acta Geodaetica et Cartographica Sinica,2005,34(2): 118. [9] JIA Yong-hong,LI De-ren,SUN Jia-bing(贾永红,李德仁,孙家柄). Remote Sensing Technology and Application(遥感技术与应用),2000,15(1):41. [10] ZHONG Zhi-yong,CHEN Ying(钟志勇,陈 鹰). Acta Geodaetica et Cartographica Sinica(测绘学报),2002,31(sup): 56. [11] TANG Guo-an,ZHANG You-shun,LIU Yong-mei(汤国安,张友顺,刘咏梅). Digital Remote Sensing Data Processing(遥感数字图像处理). Beijing: Science Press(北京:科学出版社),2004. [12] ZHAO Ying-shi,et al(赵英时,等). Remote Sensing Application Analytical Principles and Methods(遥感应用分析原理与方法). Beijing: Science Press(北京: 科学出版社),2003. [13] TONG Qing-xi(童庆禧). Spectral and Analysis of Typical Earth Objects of China(中国典型地物波谱及其特征分析). Beijing: Science Press(北京: 科学出版社),1990. [14] CHEN Chun,WU Yu-hang,LIU Zhi-ming,et al(陈 春,吴雨航,刘志明,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(4): 739. [15] LIN Hui,LI Ji-ping,MO Deng-kui(林 辉,李际平,莫登奎). Journal of Image and Graphics(中国图像图形学报),2005,10(10):1504. |
[1] |
LI Si-yuan, JIAO Jian-nan, WANG Chi*. Specular Reflection Removal Method Based on Polarization Spectrum
Fusion and Its Application in Vegetation Health Monitoring[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3607-3614. |
[2] |
ZHU Wen-qing1, 2, 3, ZHANG Ning1, 2, 3, LI Zheng1, 2, 3*, LIU Peng1, 3, TANG Xin-yi1, 3. A Multi-Task Convolutional Neural Network for Infrared and Visible Multi-Resolution Image Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 289-296. |
[3] |
XU Xue-bin1, 2, XING Xiao-min1, 2*, AN Mei-juan1, 2, CAO Shu-xin1, 2, MENG Kan1, 2, LU Long-bin1, 2. Palmprint Recognition Method Based on Multispectral Image Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3615-3625. |
[4] |
CUI Xiao-rong, SHEN Tao*, HUANG Jian-lu, SUN Bin-bin. Infrared Mid-Wave and Long-Wave Image Fusion Based on FABEMD and Improved Local Energy Window[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2043-2049. |
[5] |
SHEN Yu, YUAN Yu-bin*, PENG Jing. Research on Near Infrared and Color Visible Fusion Based on PCNN in Transform Domain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2023-2027. |
[6] |
ZHANG Jin1, WANG Jie1, SHEN Yan3, ZHANG Jin-bo4, CUI Hong-liang1,2*, SHI Chang-cheng2*. Wavelet-Based Image Fusion Method Applied in the Terahertz Nondestructive Evaluation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3683-3688. |
[7] |
LIU Feng1, SHEN Tong-sheng2, GUO Shao-jun1,ZHANG Jian3. Multi-Spectral Ship Target Recognition Based on Feature Level Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(06): 1934-1940. |
[8] |
LIU Jia-ni, JIN Wei-qi*, LI Li, WANG Xia . Visible and Infrared Thermal Image Fusion Algorithm Based on Self-Adaptive Reference Image [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(12): 3907-3914. |
[9] |
LIN Su-zhen, WANG Dong-juan, WANG Xiao-xia, ZHU Xiao-hong. Multi-Band Texture Image Fusion Based on the Embedded Multi-Scale Decomposition and Possibility Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(07): 2337-2343. |
[10] |
ZHENG Feng1, LIU Li-ying1, LIU Xiao-xi2, LI Ye1, SHI Xiao-guang1, ZHANG Guo-yu1, HUAN Ke-wei1* . VMTBB-Based Spectral Radiometric Calibration of NIR Fiber Coupled Spectrometer [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(09): 2665-2671. |
[11] |
LIN Su-zhen, YANG Feng-bao, CHEN Lei . Fusion of Dual Color MWIR Images Based on Support Value Transform and top-hat Decomposition [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(04): 1144-1150. |
[12] |
SHEN Yu1, DANG Jian-wu1, FENG Xin2, WANG Yang-ping1, HOU Yue1 . Infrared and Visible Images Fusion Based on Tetrolet Transform [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(06): 1506-1511. |
[13] |
DOU Wen1, SUN Hong-quan2, CHEN Yun-hao2* . Comparison among Remotely Sensed Image Fusion Methods Based on Spectral Response Function[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(03): 746-752. |
|
|
|
|