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Phobos image enhancement using unpaired multi-frame acquisitions from Indian Mars Color Camera

机译:Phobos图像增强使用来自印度火星彩色相机的未配对多帧采集

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The Mars Color Camera (MCC) of Indian Space Research Organisation (ISRO) captures the elusive moon of Mars, Phobos. MCC instrument is the eye of Mars Orbiter Mission (MOM) launched by ISRO on 05th November 2013 from the spaceport of India, Sriharikota. MCC has already provided more than 1000 images of Martian surface features covering different terrains. Recently, MCC has captured Phobos image at successive time instances on 01st July 2020. Multiple unpaired acquisitions of planetary remote sensing images often contain rich information to super resolve the spatial details of these images. This paper describes the techniques developed to enhance the Phobos image from MCC multi-frame acquisitions using image rectification and topographic data. In this regard, the co-registration of MCC frames is a crucial step. To co-register the data at sub-pixel level, we present a method, namely Random Sample Consensus (RANSAC) pruning based Scale Invariant Feature Transform (R-SIFT). The image composite is based on Medoid approach. It is further enhanced by contrast limited adaptive histogram equalization (CLAHE). The location of Phobos is computed using Spacecraft Planet Instrument Camera Matrix Event (SPICE) toolkit. For topographic correction, we rely on the Digital Elevation Model (DEM) of Phobos using publicly available resources. Visual inspection and image quality parameters, such as BRISQUE, RMSE, PSNR, and SSIM are estimated for both enhanced and topographically corrected image for assimilation purpose. After incorporating these techniques, the final Phobos image appears more representative, spatially enhanced, and has normalized radiometry to study its surface features.
机译:印度空间研究组织(ISRO)的火星彩色相机(MCC)捕捉了火星,Phobos的难以捉摸的月亮。 MCC乐器是Mars Orbiter Mission(妈妈)的眼睛,由ISRO于2013年11月5日从印度的Spaceport,Sriharikota发布。 MCC已经提供了1000多种Martian表面特征图像,覆盖不同的地形。最近,MCC在2020年7月1日的连续时间实例上捕获了Phobos图像。行星遥感图像的多个未配对采集通常包含丰富的信息,以超级解析这些图像的空间细节。本文介绍了使用图像整流和地形数据从MCC多帧采集增强Phobos图像的技术。在这方面,MCC框架的共同登记是关键步骤。要在子像素级别共登记数据,我们呈现了一种方法,即随机的样本共识(RANSAC)被基于尺度不变特征变换(R-SIFT)。图像复合材料基于麦细够。通过对比度有限的自适应直方图均衡(CLAHE)进一步增强了它。使用航天器行星仪器相机矩阵事件(SPICE)工具包计算PHOBOS的位置。对于地形校正,我们依靠Phobos的数字高度模型(DEM)使用公开的资源。用于增强和地形校正的图像,估计增强和地形校正的同化目的的视觉检查和图像质量参数,例如Br​​isque,RMSE,PSNR和SSIM。在结合这些技术之后,最终的PHOBOS图像出现更具代表性,空间增强,并且具有归一化的辐射测定,以研究其表面特征。

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