Abstract

The present paper has considered two algorithms of the relative radiometric correction of information obtained from a multimatrix imagery instrument of the spacecraft “Resource-P” and frame imagery systems of the spacecraft “Canopus-V”. The first algorithm is intended for elimination of vertical stripes on the image that are caused by difference in transfer characteristics of CCD matrices and CCD detectors. Correction coefficients are determined on the basis of analysis of images that are homogeneous by brightness. <br><br> The second algorithm ensures an acquisition of microframes homogeneous by brightness from which seamless images of the Earth surface are synthesized. <br><br> Examples of practical usage of the developed algorithms are mentioned.

Highlights

  • Radiometric correction is connected with elimination of brightness distortions on images of the Earth surface due to peculiarities of the imagery camera operation

  • These distortions are caused by difference in transfer characteristics of some CCD detectors and CCD matrices operating under time delay and charge integration mode and they become apparent in the form of vertical stripes on images of high spatial resolution obtained from the spacecraft “Resource-P” (Fig. 1)

  • Radiometric distortions become apparent within changes of brightness from the beginning to the end of microframes and various brightness of microframes obtained from adjacent CCD matrices

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Summary

Introduction

Radiometric correction is connected with elimination of brightness distortions on images of the Earth surface due to peculiarities of the imagery camera operation. These distortions are caused by difference in transfer characteristics of some CCD detectors and CCD matrices operating under time delay and charge integration mode and they become apparent in the form of vertical stripes on images of high spatial resolution obtained from the spacecraft “Resource-P” (Fig. 1). More accurate method is based on calculation of correction coefficients according to results of processing of the video data obtained under “sliding” mode (Henderson, 2004, Anderson, 2011, Lachérade, 2012).

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