不同分辨率航空多角度图像的配准与BRDF提取

Q. Liu, Q.H. Liu, Q. Xiao, G. Tian, X.W. Li
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引用次数: 0

摘要

设计了一种多角度遥感图像的自动配准算法,逐步细化图像扭曲函数。该算法首先利用小波变换将原始图像分解为一系列低分辨率图像,然后利用b样条构造扭曲函数,并根据基于相关性的方法找到的控制点对b样条进行细化。用机载多角度TIR/VNIR成像系统在华北地区采集的图像对该算法进行了验证。结果表明,b样条与多项式样条或薄板样条相比具有优势。配准完成后,给出了BRDF提取的一个示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Registration and BRDF extraction of airborne multi-angular images in different resolutions
An auto-registration algorithm is designed for multi-angular remote sensing, which refines the image warping function in a step-by-step way. It first uses a wavelet transform to degrade the original images to a series of low resolution ones, then constructs warping function with B-splines, and refines the B-splines according to control points found by a correlation based method. The algorithm is tested with images acquired in North-China by an airborne multi-angular TIR/VNIR imaging system. Results show the advantage of B-splines in comparison with polynomial or thin-plate splines. After registration is done, we give an example for BRDF extraction.
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