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A novel approach of SAR image processing based on Hue, Saturation and Brightness (HSB)

机译:基于色调,饱和度和亮度的SAR图像处理的新方法(HSB)

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Processing of SAR data is required to extract relevant features, such as objects or buildings. Detection of such objects is based on the detection of locally bright pixels, followed by clustering of neighborhoods of pixels, Synthetic Aperture Radar (SAR) is used to obtain high-resolution images from broad areas of terrain. SAR is capable of operating under inclement weather conditions, day or night. In this paper we picked up the aspects of color in the red, green and blue (RGB) scheme from SAR image. These terms are most of ten used in reference to the color of each pixel in pixel-raped graph. All possible colors can be specified according to hue, just as colors can be represented in terms of the R, G, and B components.
机译:需要处理SAR数据以提取相关功能,例如对象或建筑物。这些对象的检测是基于局部亮像素的检测,然后通过群体聚类像素,合成孔径雷达(SAR)用于获得来自地形的广义的高分辨率图像。 SAR能够在恶劣的天气条件下,日夜运作。在本文中,我们从SAR图像中拾取了红色,绿色和蓝色(RGB)方案中的颜色方面。这些术语的大部分最多用于参考像素强奸图中的每个像素的颜色。可以根据色调指定所有可能的颜色,就像颜色可以以R,G和B分量表示颜色。

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