| 卫星影像的云雾检测及干扰去除 |
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| 引用本文： | 徐逸祥,朱子豪,刘英毓. 卫星影像的云雾检测及干扰去除[J].国土资源遥感,2006,17(3):23-28. |
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| 作者姓名： | 徐逸祥 朱子豪 刘英毓 |
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| 作者单位： | 台湾大学地理环境资源学系,台北 |
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| 摘 要： | 云雾检测及去除是光学遥感图像处理的难题。厚云雾因具高反射特性，可通过阈值的设定将其检测并去除； 薄云因混有地物
光谱特性而较难检测，需先对影像做相对辐射校正处理，再将影像由RGB转换成HIS彩色模型，并假设薄云雾的加入等于白色颜料的加
入，即仅改变光谱的亮度或饱和度值，色相并无改变，藉此，可用多时段方式检测。实践证明，在HIS系统中可简化薄云雾的检测准
则，大大提高自动化检测云雾的可能性。
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| 关 键 词： | 卫星影像 相对辐射校正 云雾检测及去除 HIS彩色模型 影像镶嵌 |
| 文章编号： | 1001-070X(2006)03-0023-06 |
| 收稿时间： | 2005-12-20 |
| 修稿时间： | 2006-02-10 |
DEVELOPING TECHNIQUE FOR THE DETECTION AND
REMOVAL OF CLOUD AND HAZE IN SATELLITE IMAGES |
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| XU Yi-xiang,ZHU Zi-hao,LIU Ying-yu.DEVELOPING TECHNIQUE FOR THE DETECTION AND
REMOVAL OF CLOUD AND HAZE IN SATELLITE IMAGES[J].Remote Sensing for Land & Resources,2006,17(3):23-28. |
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| Authors: | XU Yi-xiang ZHU Zi-hao LIU Ying-yu |
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| Institution: | Depariment of Geography, National Taiwan University, Taipei, China |
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| Abstract: | Detection and removal of cloud and haze are arduous problems in optical remote sensing imagery processing.Thick cloud and haze have the character of high reflection,so we can set the threshold to detect and remove the areas having extremely high reflection and even mosaic the images with near dates' ones to create clear and cloudless images.Relatively,areas covered by thin cloud and haze have the spectral characteristics of both surface features and cloud and haze,thus making it difficult to separate them.Consequently,the authors first processed the images with relative radiometric normalization and then transformed the images from the RGB to the HIS color model.The assumption was that the interference of thin cloud and haze,similar to mixing a color pigment with white,would increase the color intensity and decrease the saturation of an image but would not change its hue value.Guided by this assumption,the authors processed the multi-temporal images and isolated areas contaminated by thin cloud and haze.The results suggest that it is possible for an automatic method based on the HIS color model to detect thin cloud and haze on satellite images. |
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| Keywords: | Satellite images Relative radiometric normalization Detection and removal of cloud and haze HIS color model Images mosaic |
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