In order to solve the non-robustness for affine moment invariant values under the change of light conditions,a normalized light affine moment invariants is proposed which is based on the existing illumination model and Jan Flusser affine invariant moment model so as to deduce a normalized light affine invariant moment.The robustness of this proposed method in various kinds of affine transformations is theoretically proved and the invariance for the method is verified by comparing with experimental results in different conditions of light intensity,direction and color.The experimental results show that this method is suitable for grayscale images and color images.Under the condition of light with direction change,the recognition capability of images of the skew movement is improved by 35％.Under the condition of linear light intensity change,the recognition capability of images of the skew movement is improved by 85 ％.Under the condition of the light with color change,the recognition capability of image of translation and rotation is improved by 7.8 ％.Under the condition of the light change,taking multiple satellite model images as an example,the recognition capability of image is improved by 36 ％.This method with simple calculation is suitable for the identification of target spacecraft.%为了解决现有的光照变化条件下仿射不变矩识别不稳健的问题,提出了一种归一化光照仿射不变矩,即采用一种光照模型,基于Jan Flusser仿射不变矩,推导出一种归一化光照仿射不变矩,并且从理论上证明了该方法在各种仿射变换下的稳健性,然后通过对比实验验证了该方法在光照强度、方向和颜色改变下的不变性.实验结果表明,与当前主流的光照不变矩方法相比,该方法不仅适合灰度图像也适合彩色图像,在光照方向改变下,图像的倾斜运动中识别度提高了35％;在线性光照强度改变下,图像的倾斜运动中识别度提高了85％;在光照颜色改变下,图像的平移和旋转运动中识别度提高了7.8％;以多种卫星模型图像为实验对象,在光照改变下,彩色图像和灰度图像的识别度平均提高了36％以上,且计算简单,更适合于航天器目标的识别.
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