1) removal of light cloud
薄云去除
1.
Parallel processing of histogram equalization and removal of light cloud for gray scale images are implemented by GPGPU and CUDA technique.
首先简要介绍了统一设备架构CUDA(Compute Unified Device Architecture)技术的背景、特点、内存模型,利用通用计算图形处理单元GPGPU(General Purpose GPU)及CUDA技术,实现了图像直方图均衡化和薄云去除的并行化处理,与传统的基于CPU的方法相比,两个基于GPGPU的图像预处理操作的执行效率分别提高了40倍与80倍左右,在大规模实时性图像处理操作中,有很大的实用价值。
2) removing thin cloud
去薄云
1.
In order to remove thin cloud from the image,this paper put forward the arithmetic of removing thin cloud,which based on the mathematic morphology.
为解决在利用遥感影像制图时云层遮挡造成的影像信息缺损,提出基于数学形态学的滤波去薄云算法。
3) clouds removal
云层去除
4) eleminate clouds
云雾去除
5) Detection and removal of cloud and haze
云雾检测及去除
1.
Detection and removal of cloud and haze are arduous problems in optical remote sensing imagery processing.
云雾检测及去除是光学遥感图像处理的难题。
6) cloud removal
去云
1.
Saveral methods previously used in cloud removal of multi-spectral image are discussed firstly,and then multi-resolution analysis of image fusion based on wavelet transform is introduced.
在介绍几种常用于多传感器遥感图像去云方法的基础上,采用多分辨力小波分解的图像融合法来达到对影像的去云目的。
2.
This paper discusses the methods previously used in cloud removal of multi-spectral raster image and presents resolution merge, high-pass filtering method based on frequency domain image.
本文在介绍了几种常用于多传感器遥感图像去云方法的基础上,探讨了基于精度融合的频率域高通滤波去云方法,并对ETM图像进行去云处理,结果表明这种方法具有很好的去云效果,同时计算简便,此外这种方法还具有很强的普适性。
3.
In mountain area,with high elevation and steep slope,in order to improve precision of classification,referencing topographic normalize and cloud removal of TM data.
针对山区地形复杂、常年多云雾、分类难度大的特点,着重加强对影像的地形校正和去云处理,以此来提高图像分类精度。
补充资料：云层馒头
用料：面粉５００克，面肥１００克，香油１５克。儿童0家教0幼儿0教育
做法：（１）面发大酵，对碱后擀成长方形面片，刷上香油，卷成圆筒，切成１０段；
（２）分别将每段两端面弯压在下面团成馒头，上屉蒸２５分钟即成云层馒头
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条