SAR景象匹配适配性指标体系构建方法研究

摘要

This paper mainly discusses how to construct a scientific and reasonable SAR image adaptation index system.First?ly,based on the construction of the index system of image characteristic parameters for SAR images,single independent experi?ments are carried out for each image feature parameter.These experiments verify the correctness and differentiation of different types of images.Then,the statistical experiments are carried out on the basis of a large number of training sets.These experiments analyze the distinction between positive and negative samples.Two methods of image preprocessing are proposed.The image quality differ?ences between the training set images,the training set images and the set images are greatly eliminated,such as imaging environ?ment,climate,flight modes,and SAR polarization modes.At the same time,some feature parameters are also given better image description ability.%论文主要探讨了如何构建科学、合理的SAR图像适配性指标体系的过程.在适用于SAR图像的图像特征参数指标体系构建基础之上,首先对各个图像特征参数进行单次独立实验,验证其正确性以及对不同类型图像的区分性;再对各个参数在大量训练集的基础上进行统计实验,分析其对正负样本的区分性.提出了两种图像预处理的方法,极大地消除了训练集图像之间、训练集图像与使用集图像之间,因为成像环境、气候、飞行器飞行模式、SAR极化方式等原因造成的图像质量差异,与此同时,还使得部分特征参数获得了对图像更好的描述能力.