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基于高分辨率卫星影像绿色信息提取的最佳假彩色合成方法及评价研究 被引量:2

Methods and evaluation of optimal false color synthesis for green information extraction based on high resolution spatial images.
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摘要 高空间分辨率卫星影像数据具有较少的波段信息。在提取绿色信息时,为获得绿色信息突现、其他信息保真效果较好的影像,该文采用多波段增强技术代替光谱增强合成假彩色。实验采取波段按比例的假彩色合成与波段阙值替换的假彩色合成两种方法。通过实验表明,后种方法的阙值将是影响合成的关键因素;前种方法的生产可行性大。以3组不同比例的近红与绿波段合成实验表明,当比例为1:1时,影像色彩保真效果最好,同时绿色信息得到增强。在以RGB色彩空间模型为基础,提出6色评价法。通过VC软件读取TIF影像格式的灰度值信息编写1个小软件,实现此法的算法。根据6色评价法评价的结果与视觉观察效果一致。 High resolution spatial images have little band information.This study adopted multiband-enhancement method instead of spectrum-enhancement method to synthesize false color in order to highlight green information and prevent the loss of other image infoiTnation in the extraction of green information.Experiments were conducted in two ways:the synthesis by different proportions of bands and the synthesis by replacing some pixels at the threshold value.Results show that the former method was more applicable in production than the latter one,and the the latter method was influenced largely by the threshold value.To determine the proportion for the optimal false color synthesis,experiments indicate that a proportion of near red and green band 1:1 can meet the demand of highlighting green information and decreasing the loss of other color information.Based on the RGB color space model,six-color-evaluation was proposed to evaluate different proportions for false color synthesis.The algorithm of this evaluation was achieved by reading pixel values in TIF format on the platform of Visual C language.The result of the evaluation was consistent with the visual observation.
出处 《北京林业大学学报》 CAS CSCD 北大核心 2008年第S1期62-67,共6页 Journal of Beijing Forestry University
基金 北京市教育委员会共建项目建设计划
关键词 图像增强 假彩色合成 RGB 色彩空间 高分辨率卫星影像 TIF 格式 绿色信息提取 image enhancement false color synthesis RGB color space high resolution spatial image TIF format green information extraction
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