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介绍北京一号小卫星数据的特点及应用情况,分析了卫星图像镶嵌处理技术流程,对其中的技术难点,如去条带处理、几何校正、图像拼接及色彩平衡等进行了重点探讨并提出解决办法。利用北京一号小卫星数据将两幅多光谱影像进行了镶嵌处理,得到了一幅覆盖整个研究区的新影像,镶嵌影像色彩丰富、层次感好、信息量大。 相似文献
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卫星搭载的有效载荷在进行在轨对地观测过程中,受仪器本身特性和地球固有特性因素的影响,在图像上会产生多种观测失准和干扰现象。如图像旋转现象,蝴蝶结效应以及探元非均匀性条纹现象等。针对这类可以预见到的冗余和条纹,对仪器设计优化以及借助卫星星历轨道等辅助数据和成熟的图像处理算法可以对其实现有效地恢复。仪器在轨运行期间新引入的周期性或非周期性干扰,则需综合运用多种数据来源和关于干扰产生原理的先验知识,并结合图像处理手段实现图像恢复,同时保存原有辐射信息的真实性,为定量研究提供高质量可靠的数据准备。本研究针对某卫星中波红外图像干扰条纹,利用星上定标数据,并通过条纹现象分析和产生机理分析,探索了一种新的基于空域信号补偿原理的图像干扰条纹处理算法,通过大量图像数据处理实践证明,该算法对图像质量改善明显,且在动态范围和辐射信息保存方面优于传统频域滤波算法。 相似文献
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This paper briefly reviews the cause of the striping and then develops a tapered (Chebwin & Kaiser) window finite impulse response (FIR) filter and a constrained least squares FIR filter by reason of the striping of ASTER satellite data . Both filters minimize the stripes in the visible data and simultaneously minimize any distortion in the filtered data. Finally, the results obtained by using these new filtering methods are quantitatively compared with those produced by other destriping methods. 相似文献
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1 Introduction TheAntarcticcontinentissurroundedbyPacificOcean,theAtlanticOceanandthe IndianOcean,itistheisolatedcontinentfarthestfromthemankind.ItsSpecialgeography andclimateenvironmentmakethemankindverydifficulttobeclosetoit,whichlimits mankind'sinvestigationofitandstudytoagreatextent.Restrictioncausedofthegeograph icalenvironmentandtheclimatecanbebrokentoagreatextentwiththeaidofthemodern remotesensingtechnology,itdemonstratesincomparablesuperioritythatremotesensing technologyisusedin… 相似文献
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MODIS 1B 影像条带检测与去除 总被引：2，自引：0，他引：2
MODIS 1B 影像中存在横向和纵向条带, 基于均衡化曲线补偿技术, 提出了一种快速检测和去除条带的
算法, 给出了条带检测判定参数, 即: 如果A帧和B 帧的10 组传感器校正系数Ci值分别位于0 的两侧, 且ABS(Ci)>
0.008, 则存在宽条带; 如果10 组传感器的校正系数MAX(Ci)>0.05 时, 则存在单行条带。去除宽条带时, 需以当前
列为首列, 从其后连续的100 列影像中提取各传感器相对当前列的校正系数。结果表明, 条带检测模型能有效识别
单行条带和宽条带, 多行条带需目视识 相似文献
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Striping is a common phenomenon in remote sensing imagery acquired by most spaceborneand airborne multispectral sensors. In contrast to the destriping of the images of optoelectronic mechanical scanners, fewer work has been done for push-broom CCD images. Based on the characteristics of HY -1 push-broom multispectral CCD camera and its prelaunch radiometric calibration results, the striping features are analyzed and a quantitative striping removal algorithm is proposed. The algorithm is to obtain the inter-detector equalization curves to reflect the differences between detectors by statistic analysis of the satellite imagery data set, and image stripes arising from the nonuniformity of the detectors of the CCD array can be removed using the estimated equalization curves. The preliminary results show that this method can effectively remove the stripes and preserve the radiometric accuracy of the raw data at the same time. 相似文献