首页 >  2008, Vol. 12, Issue (4) : 1993-2002

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10.11834/jrs.20080472

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基于CBERS-02卫星数据的参数定量反演算法及软件设计
遥感科学国家重点实验室,中国科学院遥感应用研究所,国家航天局航天遥感论证中心,北京 100101
摘要:

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.

Parameter Retrieval Algorithm and Softwave Design for CBERS-02 Satellite Data
Abstract:

It s urgent to considerhow to systematically establish the civil aeronautics remote sensing system, assmi ilate application requirements in the process of remote sensing quantification, and mi prove the earth observing ability and quantitative leve.l On October 21, 2003, the CBERS-02 was successfully launched. Charge Coupled Device Camera(CCD), W ide Field Imager (WFI) and the InfraredMulti-Spectral Scanner (IRMSS) are three mi portant payloads on CBERS-02. The quantitative researches and expermi entsbased on CBERS-02 data had been carried out, which provide a reference and demonstration for the quantitative application researches ofFY, HY, Resources, HJ etc. satellites data.To conducted the quantitative application of the CBERS-02 satellite mi ages, we have performed a series of expermi ents and researches. Researches on the quantification application ofCBERS-02 include good knowledge of the payload s parameters, mi age s quanlity, radiometric calibration, validation of arithmeticmodels and the assessmentof the application potentia.l As one of these research, themethod 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 mi ages. In this study, the remote sensed data processing frame and products system are designed based on the characteristic of theCBERS-02 mi ages. The study demonstrates that the functions ofquantifying processing forCBERS-02satellite include the stage from the remte sensed signals to quantitative information and to the inversion of the surface parameters forCBERS-02. To provide a compositive productsystem forCBERS-02 satellite, five levelproductshave been designed based on the consideration of geometric and radiometric characteristic ofCBERS-02 satellite, which will be a reference of the productsystem for the cominghigh spatial resolution satellite mi age in our country. The five levelproducts are: Level1 (1B data), Level2 (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 Level5 (vegetation index, LAI, land cover, FPAR).In this study, techniques of quantifying processing for every level product are illustrated completely forCBERS-02 satellite. For the stage from the remote sensed signals to quantitative information, the vicarious calibration and cross calibration ofCCD, WFI and IRMSS mi ages, cloud detection arithmetic ofCCD mi ages and atmospheric correctionmethod of CCD mi ages. 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 forWFI mi agerand the calibration coefficients are calculated as the first tmi e inChina. For the stage from quantitative information to the inversion of the surface parameters, the following productswillbe 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 theCBERS-02 satellite. The developmentenvironmentofRSQA-CBERS isMS-VisualC ++.However, the currentversion ofRSQA-CBERS is running based on theLevel2 productwhich is defined and provided by the center ofChineseResource Satellite data andApplication (CRESDA). Thus, due to the lmi itation of the mi ages, the surface parameters inversed by the software are lmi ited. What smore, the inversion arithmetic need to be mi proved.

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