摘要
由于遥感图像成像过程中受平台运动、传感器成像性能、大气扰动等因素影响,使得图像品质退化。文章提出一种基于空域的自适应调制传递函数补偿法对遥感图像进行复原。该算法根据实验室实测的调制传递函数值,考虑光学系统、探测器与电子元器件等对图像品质的影响,构造有限长脉冲响应计算去卷积核,对图像进行去卷积时根据相机成像所设参数(包括积分级数、增益等)下不同灰度的信噪比信息,兼顾景物内容进行自适应的抑噪处理。该算法已成功应用于"高分二号"(GF-2)卫星图像地面处理中,试验结果表明该算法在有效提高图像清晰度的同时能够保证图像的信噪比,从而改善了图像品质。
Because of the effects of platform, sensor, the atmosphere etc, remote sensing images are degraded. This paper proposes an adaptive modulation transfer function compensation （MTFC） restoration algorithm of remote sensing images based on spatial domain. The method is based on the modulation transfer function values laboratory-measured, which considers the impact of optical system, detector and electronic components, and construct finite impulse response to calculate deconvolution nuclear. According to the signal to noise ratio （SNR） of different gray values given by the sensor parameters （including integral series, gain, etc）, we handle image deconvolution, which combining scene content for adaptive noise suppression processing. The algorithm has been successfully used in GF-2 data ground processing, The test results show that the method can improve both the image clarity and the SNR to increase the image quality.
出处
《航天返回与遥感》
北大核心
2015年第4期54-62,共9页
Spacecraft Recovery & Remote Sensing
基金
国家自然科学基金(41401411)
