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Restoration of the missing pixel information caused by contrails in multispectral remotely sensed imagery

机译:恢复多光谱遥感影像中凝结尾迹引起的像素丢失信息

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Although removing the pixels covered by contrails and their shadows and restoring the missing information at the locations in remotely sensed imagery are important to understand contrails' effects on climate change, there are no such studies in the current literature. This study investigates the restoration of the missing information of the pixels caused by contrails in multispectral remotely sensed Landsat 5 TM imagery using a cokriging approach. Interpolation results and several validation methods show that it is practical to use the cokriging approach to restore the contrail-covered pixels in the multispectral remotely sensed imagery. Compared to ordinary kriging, the results are improved by taking advantage of both the spatial information in the original imagery and information from the secondary imagery. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:尽管删除遥感影像及其阴影所覆盖的像素并恢复遥感影像中某些位置的丢失信息对于了解遥感影像对气候变化的影响很重要,但当前文献中尚无此类研究。这项研究使用Cokriging方法研究了多光谱遥感Landsat 5 TM影像中凝结尾迹引起的像素丢失信息的恢复。插值结果和几种验证方法表明,使用cokriging方法来恢复多光谱遥感影像中被轨迹覆盖的像素是可行的。与普通克里金法相比,通过利用原始图像中的空间信息和来自辅助图像的信息,可以改善结果。 (C)2014年光电仪器工程师协会(SPIE)

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