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首页> 外文会议>Living planet symposium >CLOUD AND CLOUD SHADOW MASKING OF HIGH AND MEDIUM RESOLUTION OPTICAL SENSORS – AN ALGORITHM INTER-COMPARISON EXAMPLE FOR LANDSAT 8
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CLOUD AND CLOUD SHADOW MASKING OF HIGH AND MEDIUM RESOLUTION OPTICAL SENSORS – AN ALGORITHM INTER-COMPARISON EXAMPLE FOR LANDSAT 8

机译：高中分辨率光学传感器的云和云阴影掩蔽 - Landsat 8的算法互相帧

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摘要

Image processing for satellite water quality products requires reliable cloud and cloud shadow detection and cloud classification before atmospheric correction. Within the FP7/HIGHROC (“HIGH spatial and temporal Resolution Ocean Colour”) Project, it was necessary to improve cloud detection and the cloud classification algorithms for the spatial high resolution sensors, aiming at Sentinel 2 and using Landsat 8 as a precursor. We present a comparison of three different algorithms, AFAR developed by RBINS; ACCAm created by VITO, and IDEPIX developed by Brockmann Consult. We show image comparisons and the results of the comparison using a pixel identification database (PixBox); FMASK results are also presented as reference.
机译：卫星水质产品的图像处理需要在大气校正之前可靠的云和云阴影检测和云分类。在FP7 / HIGHTROC（“高空间和时间分辨率海洋”）项目中，有必要改善空间高分辨率传感器的云检测和云分类算法，旨在哨声2和使用Landsat 8作为前体。我们对RBINS开发的三种不同算法进行了比较;由VITO创建的ACCAN和Brockmann开发的IDEPIX咨询。我们使用像素识别数据库（PIXBOX）显示图像比较和比较结果; FMask结果也作为参考。

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