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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >A Technique for Simulating Pseudo Natural Color Images Based on Spectral Similarity Scales
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A Technique for Simulating Pseudo Natural Color Images Based on Spectral Similarity Scales

机译：基于谱相似度标度的伪自然彩色图像仿真技术

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摘要

Natural color images are superior to false color images for presentation and visual interpretation purposes. They are widely used in the fields of fly-through of a draped terrain, visual interpretation, and display and have been designed, for example, for nonremote sensing professional users. However, each sensor has its own purpose, application, and limitation. In addition, blue wavelengths suffer the greatest scattering in the atmosphere, which follows an inverse dependence on wavelength to the fourth power. Some of high-resolution satellites cover only two visual spectral bands (green and red bands) plus one in the near-infrared region. As a result, a true color image cannot be formed, as the blue band is necessary in the red, green, and blue combination. This has become problematic for users needing a natural color composite that has limited the application of high-resolution images. To overcome this problem, in this letter, we propose a new approach for generating pseudo natural color (PNC) composite representations from false color composite images based on the spectral similarity scale. The method is validated experimentally. The proposed “natural color generator” can be applied to change false color images into natural color images. The generated PNC images are shown to be of high quality.
机译：在呈现和视觉解释方面，自然彩色图像优于伪彩色图像。它们广泛用于悬垂地形的穿越，视觉解释和显示等领域，并已为例如非远程传感专业用户设计。但是，每个传感器都有其自己的目的，应用和限制。另外，蓝光波长在大气中的散射最大，其对四次方的波长呈反比关系。一些高分辨率卫星仅覆盖两个可见光谱带（绿色和红色带），而在近红外区域覆盖一个。结果，不能形成真实的彩色图像，因为在红色，绿色和蓝色的组合中需要蓝色带。对于需要限制高分辨率图像应用的天然彩色复合物的用户而言，这已经成为问题。为了克服这个问题，在这封信中，我们提出了一种新方法，用于基于光谱相似度标度从伪彩色合成图像生成伪自然色（PNC）合成表示。该方法已通过实验验证。所提出的“自然颜色生成器”可以应用于将伪彩色图像改变为自然彩色图像。生成的PNC图像显示为高质量。

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