提出一种新的遥感相机在轨点扩散函数测量方法,在阶跃响应法的基础上,深入分析倾斜角度、尺寸、插值、对比度、像素饱和、噪声等因素的影响,通过选取满足条件的阶跃目标图像并进行采样相位弱化处理,提高了测量结果的准确度。通过对实际全色谱段遥感图像的试验,验证了方法的有效性与可靠性,并利用所测点扩散函数对退化图像进行了复原,有效提高了遥感图像质量。 Based on the step response method, the influences of such factors as tilt angle, size, interpolation, contrast, pixel saturation and noise are deeply analyzed. By choosing the order Jump the target image and sample phase weakened, improve the accuracy of the measurement results. The experiment of real full-color remote sensing image verifies the effectiveness and reliability of the method. The degraded image is reconstructed by the measured point spread function, which improves the quality of remote sensing image effectively.