遥感图像配准中的块效应模拟

提出和实现了一种随机遥感图像模拟新方法,该方法集成了PROSAIL模型、随机地物类别生成和尺度扩展机制,实现了随机点图像模拟和随机块图像模拟.实验中定量模拟了HJ-1 CCD传感器近红外成像光谱波段图像及具有不同平移、旋转、尺度变化影响的实验图像.利用模拟图像研究了平移、旋转、尺度变化等多种因素对近红外图像配准的影响,通过模拟地物随机分布及尺度变化的随机块图像分析了块效应在图像配准中的作用,并试验将随机模拟图像用于对图像配准算法进行适宜性分析.模拟实验结果表明图像块效应对图像配准处理具有重要影响.

Block effect simulation for image registration in remote sensing

A novel method for random RS image simulation was proposed and realized. By integrating PROSAIL model, random classes of ground object and scale extension, random point image and random block image were simulated, respectively. In the experiment, several images, including HJ-1 CCD near infrared red spectral band image and the images with different translation, rotation and scale parameters, were quantitatively simulated. With the help of these simulated images, the effect to NIR image registration from the differences of translation, rotation and scale parameters was discussed. The action of block effect in the NIR image registration was analyzed through simulated random block images with scale diversifications and random distribution of ground object. Simulating random remote sensing images were used to analyze NIR image registration. The experimental results show that the block effect in image takes an important role to image registration.