Image Dodging Algorithm for GF-1 Satellite WFV Imagery

doi:10.11947/j.AGCS.2016.20160248

Abstract

Abstract: Image dodging method is one of the important processes that determines whether the mosaicking image can be used for remote sensing quantitative application. GF-1 satellite is the first satellite in CHEOS (Chinese high-resolution earth observation system). WFV multispectral sensor is one of the instruments onboard GF-1 satellite which consist of four cameras to mosaic imaging. According to the characteristics of WFV sensor, this paper proposes an image dodging algorithm based on cross/inter-radiometric calibration method. First, the traditional cross calibration method is applied to obtain the calibration coefficients of one WFV camera. Then statistical analysis and simulation methods are adopted to build the correlation models of DN and TOA (top of atmosphere) radiances between adjacent cameras. The proposed method can not only accomplish the radiation performance transfer, but also can fulfill the image dodging. The experimental results show the cross/inter-radiometric calibration coefficients in this paper can effectively eliminate the radiation inconsistency problem of the adjacent camera image which realizes the image dodging. So our proposed dodging method can provide an important reference for other similar sensor in future.

Key words: image dodging, cross/Inter-radiometric calibration, GF-1 satellite, WFV sensor, MODIS

CLC Number:

P237

HAN Jie, XIE Yong. Image Dodging Algorithm for GF-1 Satellite WFV Imagery[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(12): 1423-1433.

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