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A RGB LED Driving Structure and Signal Processing Based on Tone-to-Color Conversion
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作者 LUO Guizhou QI Kejun XIONG Xiaodong 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2017年第3期252-256,共5页
In order to solve the uncertainty of voice-to-color conversion in which one of the three voice features(loudness, tone, rhythm) is applied to control LED color, a linear conversion solution is proposed. And a chroma... In order to solve the uncertainty of voice-to-color conversion in which one of the three voice features(loudness, tone, rhythm) is applied to control LED color, a linear conversion solution is proposed. And a chromaticity diagram is defined by using hue definition on hue-saturation-lightness(HSL) hue ring and the normalization of CIE xyY which is a color standard defined by International Commission on Illumination(CIE). The chromaticity diagram shows a linear relation between pitch and color, which is referred to conversions of other physical parameters as well. Based on the solution, red(R), green(G) and blue(B) LEDs, the driving structure of a conversion circuit is designed and set up. The results indicate that signal processing of tone-to-color conversion is effective, from 30 Hz to 3 kHz with a resolution of 10 Hz mapped to the chromaticity diagram. 展开更多
关键词 International Commission on Illumination(CIE) hue-saturation-lightnesshsl chromaticity diagram tone-to-color conversion RGB LED driving structure
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利用色调—亮度彩色分量的可见光植被指数 被引量:17
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作者 毛智慧 邓磊 +2 位作者 贺英 郝向磊 闫亚男 《中国图象图形学报》 CSCD 北大核心 2017年第11期1602-1610,共9页
目的无人机遥感具有高时效、高分辨率、低成本、操作简单等优势。但由于无人机通常只携带可见光传感器,无法计算由可见光—近红外波段组合所构造的植被指数。为解决这一问题,提出一种归一化色调亮度植被指数NHLVI(normalized hue and li... 目的无人机遥感具有高时效、高分辨率、低成本、操作简单等优势。但由于无人机通常只携带可见光传感器,无法计算由可见光—近红外波段组合所构造的植被指数。为解决这一问题,提出一种归一化色调亮度植被指数NHLVI(normalized hue and lightness vegetation index)。方法通过分析HSL(hue-saturation-lightness)彩色空间模型,构建一种基于色调亮度的植被指数,将该植被指数以及其他常用的可见光植被指数,如归一化绿红差值指数NGRDI(normalized green-red difference index)、过绿指数Ex G(excess green)、超绿超红差分指数Ex GR(excess green minus excess red)等,分别与野外实测光谱数据和无人机多光谱数据的NDVI(normalized difference vegetation index)进行相关性比较;利用受试者工作特征曲线ROC(receiver operating characteristic curve)的特点确定阈值,并进行植被信息提取与分析。结果 NHLVI与NDVI相关性高(R2=0.776 8),而其他可见光植被指数中,NGRDI与NDVI相关性较高(R2=0.687 4);ROC曲线下面积大小作为评价不同植被指数区分植被与非植被的指标,NHLVI指数在ROC曲线下面积为0.777,小于NDVI(0.815),但大于NGRDI(0.681),区分植被与非植被能力较强。为进一步验证其精度,利用阈值法提取植被,NHLVI提取植被信息的总体精度为82.25%,高于NGRDI(79.75%),尤其在植被稀疏区,NHLVI的提取结果优于NGRDI。结论提出的归一化色调亮度植被指数,提取植被精度较高,适用于无人机可见光影像植被信息提取,为无人机可见光影像的应用提供了新方法。 展开更多
关键词 hsl变换 植被指数 无人机 可见光 植被提取
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