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VAN HEYNINGEN WE 《Nature》1958,182(4652):1809
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VAN DER KLOOT WG 《Nature》1956,178(4529):366-367
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The data products of land surface bi-directional reflectance distribution function (BRDF) from the space-borne Polarization and Directionality of the Earth Reflectance (POLDER) of France and the Moderate Resolution Imaging Spectroradiometer (MODIS) of USA are available recently- but the atmospheric correction for meeting the requirement of quantitative remote sensing is still a very difficult problem. This paper presents a concept: bi-directional normalized difference vegetation index (Bi-NDVI)- in order to consider simultaneously the effects of both land surface BRDF and atmospheric path scattering. An atmospheric quality index is thus defined for satellite multi-angular observations. The quality of MODIS/BRDF data products can be improved notably through iterative inversion weighed by this index. 相似文献
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非均匀光照下人脸眼睛的定位方法 总被引:4,自引:0,他引:4
考虑非均匀光照下人脸眼睛的检测问题,提出了一种利用高频信息模板匹配方法从复杂图像中定位人脸眼睛的方法。选取80幅光线较好的人脸图像,对它们做光线规范化,提取Gabor高频特征,构造模板。利用统计模式识别的原理,在眼睛的大致区域进行模板匹配,突出眉毛与眼睛这一整体的大致位置,然后进行二值投影,最终确定人眼的准确位置。大量实验表明,该算法具有很高的精度和很强的鲁棒性。 相似文献