基于CBERS-02卫星数据的参数定量反演算法及软件设计
Parameter Retrieval Algorithm and Softwave Design for CBERS-02 Satellite Data
- 2008年第4期 页码:546-552
纸质出版日期: 2008
DOI: 10.11834/jrs.20080472
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纸质出版日期: 2008 ,
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[1]顾行发,陈良富,余涛,李小英,许华.基于CBERS-02卫星数据的参数定量反演算法及软件设计[J].遥感学报,2008(04):546-552.
GU Xing-fa, CHEN Liang-fu, YU Tao, et al. Parameter Retrieval Algorithm and Softwave Design for CBERS-02 Satellite Data[J]. Journal of Remote Sensing, 2008,(4):546-552.
针对中巴资源(CBERS-02)卫星数据的定量化处理技术进行比较概括的阐述。在中国卫星应用中心已有的产品体系基础上
考虑CBERS卫星多波段摄像机、宽视场成像仪及红外多光谱扫描仪数据定量化的特点
建立了CBERS-02卫星数据定量化产品体系。并对其中的主要定量化过程与产品反演算法进行描述
具体包括CBERS-02数据的场地辐射定量标和交叉辐射定标结果、云监测算法、大气校正算法、地表反射率和反照率以及以此为基础的得到的植被指数等相关定量化产品算法。介绍了定量化处理CBERS-02卫星数据的软件
为CBERS-02数据的应用提供了技术支撑。
It’s urgent to consider how to systematically establish the civil aeronautics remote sensing system
assimilate application requirements in the process of remote sensing quantification
and improve the earth observing ability and quantitative level.On October 21
2003
the CBERS-02 was successfully launched.Charge Coupled Device Camera(CCD)
Wide Field Imager(WFI) and the Infrared Multi-Spectral Scanner(IRMSS) are three important payloads on CBERS-02.The quantitative researches and experiments based on CBERS-02 data had been carried out
which provide a reference and demonstration for the quantitative application researches of FY
HY
Resources
HJ etc.satellites data.To conducted the quantitative application of the CBERS-02 satellite images
we have performed a series of experiments and researches.Researches on the quantification application of CBERS-02 include good knowledge of the payload’s parameters
image’s quanlity
radiometric calibration
validation of arithmetic models and the assessment of the application potential.As one of these research
the method of radiometric calibration and coefficients of the CCD
WFI and IRMSS have been published
which has provided basic support to the quantitative application of the CBERS-02 satellite images.In this study
the remote sensed data processing frame and products system are designed based on the characteristic of the CBERS-02 images.The study demonstrates that the functions of quantifying processing for CBERS-02 satellite include the stage from the remte sensed signals to quantitative information and to the inversion of the surface parameters for CBERS-02.To provide a compositive product system for CBERS-02 satellite
five level products have been designed based on the consideration of geometric and radiometric characteristic of CBERS-02 satellite
which will be a reference of the product system for the coming high spatial resolution satellite image in our country.The five level products are: Level 1(1B data)
Level 2(relatively radiometric calibration product
MTF compensated product
coarse geometric registration product
accurate geometric registration product)
Level 3(appearance radiance
appearance reflectance
appearance brightness
cloud identified product)
Level 4(surface reflectance
surface brightness
surface albedo
LST) and Level 5(vegetation index
LAI
land cover
FPAR).In this study
techniques of quantifying processing for every level product are illustrated completely for CBERS-02 satellite.For the stage from the remote sensed signals to quantitative information
the vicarious calibration and cross-calibration of CCD
WFI and IRMSS images
cloud detection arithmetic of CCD images and atmospheric correction method of CCD images.For the absolute radiometric calibration for the CBERS-02 satellite
vicarious and cross-calibration are performed and the calibration coefficients are achieved for CCD camera and IRMSS camera.And the cross-calibration is also carried out for WFI imager and the calibration coefficients are calculated as the first time in China.For the stage from quantitative information to the inversion of the surface parameters
the following products will be processed and achieved: surface reflectance
surface albedo
vegetation index
LAI
FPAR
land cover and LST
ect.Based on these quantitative researches
the professional quantifying processing software for CBERS-02 satellite
Remote Sensing Quantitative application software:CBERS(RSQA-CBERS) is developed
which will facilitate the quantitative application of the CBERS-02 satellite.The development environment of RSQA-CBERS is MS-Visual C++.However
the current version of RSQA-CBERS is running based on the Level 2 product which is defined and provided by the center of Chinese Resource Satellite data and Application(CRESDA).Thus
due to the limitation of the images
the surface parameters inversed by the software are limited.What’s more
the inversion arithmetic need to be improved.
CBERS-02卫星定量化
CBERS-02 satellitequantifying processing
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