首页> 外文会议>2010 Symposium on Photonics and Optoelectronic >Research of New Method for Removal Thin Cloud and Fog of the Remote Sensing Images
【24h】

Research of New Method for Removal Thin Cloud and Fog of the Remote Sensing Images

机译:去除遥感影像薄云雾的新方法研究

获取原文

摘要

For the questions of obfuscation in Google earth remote sensing images, the new method had been pointed out. The cause of obfuscation was the interference of thin cloud and fog. The new method was combination of the advanced multi-scale Retinex (AMSR) and the method of Homomorphic Filter. The results were shown the new method was effectual for removing the thin cloud and fog from the remote sensing images in Google earth. The AMSR included three steps. The first step was to get the complementary color image for the remote sensing images in Google Earth with thin cloud and fog. Next, the enhanced images were stretched with MSR in different k Multiples standard deviation near the average brightness. Finally, the new complementary color image of the enhanced images had been got. The criterion of information entropy was as the image quality criterion. The conclusion shows that the new images were high quality. The new images handled by the method of Homomorphic Filter after enhanced by AMSR. The parameter of Homomorphic Filter was best in 0.9±0.1 and the remote sensing images handled by new method have largest information entropy.
机译:针对谷歌地球遥感图像中的混淆问题,提出了一种新的方法。混淆的原因是薄云和雾的干扰。新方法是将先进的多尺度Retinex(AMSR)与同态滤波器方法相结合。结果表明,该新方法有效地去除了Google地球中遥感图像中的薄云雾。 AMSR包括三个步骤。第一步是在薄薄的云层和雾中为Google Earth中的遥感图像获取互补的彩色图像。接下来,用MSR在平均亮度附近以不同的k倍标准差拉伸增强后的图像。最终,获得了增强图像的新的互补彩色图像。信息熵的标准作为图像质量标准。结论表明,新图像是高质量的。经过AMSR增强后,通过同态滤镜方法处理的新图像。同态滤波器的参数最好在0.9±0.1,新方法处理的遥感图像具有最大的信息熵。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号