Matlab在遥感图像杂散光处理中的应用

The application of matlab in stray light processing of remote sensing image

为了消除杂散光的影响,建立了定量化杂散光模板。利用Matlab强大的矩阵计算能力和丰富的函数库,在以离散采样方式建立分段解析的折镜光阑的基础上,首先对与直射杂散光相关的光机构件建立空间坐标,然后变换成单位球面坐标并投影到平面极坐标上,采用顶点方式和点阵方式建立了直射杂散光的定量模板。通过快速傅里叶正反变换,提出了以图像与定量模板的卷积来模拟和消除直射杂散光影响的方法。通过边缘提取函数,将地球圆盘与冷空间分离,以定量考察处理效果。

By its powerful matrix calculation capability and abundance function library,Matlab is used to establish quantitive stray light templates to suppress their contamination.The analytic folding mirror aperture is discretely sampled,all framework which relates to the stray light is given by Cartesian coordinates.Quantitive templates are achieved with vertex manner and lattice manner by transferring Cartesian coordinates to unit sphere coordinates and then to polar coordinates.To simulate and suppress the contamination,convoluting the image and templates are proposed and accomplished by FFT and the inverse.The edge detecting function is used to separate the earth disk from the outer space to exam the processing effect.