Detection of Human Skin in Near Infrared Hyperspectral Imagery
Detection of Human Skin in Near Infrared Hyperspectral Imagery
复制标题
近红外高光谱图像中人体皮肤的检测
DOI：
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复制
发表时间：
2008
期刊：
影响因子：
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通讯作者：
M. Mendenhall
中科院分区：
文献类型：
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作者：
Abel S. Nunez;M. Mendenhall
搜救任务的难点之一是在一片杂乱的大区域中找到一个小目标，比如一个人。机载高光谱相机现在正在部署，以协助这项搜救任务。受此类系统成功的激励，我们在光谱的可见和近红外区域定义了人体皮肤的高光谱模型，因此我们可以利用建模过程中获得的知识来帮助人体皮肤检测。基于对皮肤模型结果的观察，提出了一种利用光谱近红外区域通道的高效、鲁棒的皮肤检测算法。我们的算法被命名为归一化差分皮肤指数，其灵感来源于文献中用于检测高光谱图像中植被的归一化差分植被指数。我们展示了我们的皮肤检测方法的能力，以检测已知的物体之间的皮肤，从而导致使用三通道颜色数据的方法的错误检测。
One of the difficulties in search and rescue missions is finding a small target, such as a person, in a large cluttered area. Airborne hyperspectral cameras are now being deployed to aid in this SAR mission. Motivated by the successes of such systems, we define a hyperspectral model of human skin in the visible and near infrared regions of the spectra so we can exploit knowledge gained during the modeling process to aid in human skin detection. Based on observations of the skin model results, an efficient and robust skin detection algorithm using channels in the near infrared region of the spectra is developed. Our algorithm is denoted the Normalized Difference Skin Index, motivated by the Normalized Difference Vegetation Index used in the literature for detecting vegetation in hyperspectral imagery. We demonstrate the capabilities of our skin detection methodology to detect skin amongst objects known to cause false detections for methodologies using three channel color data.
影响因子：
6.5
作者：
ANDERSON, RR;PARRISH, JA
通讯作者：
PARRISH, JA