利用伪彩色合成方法对多极化SAR数据进行处理,可以有效扩大场景内目标信息的差别,突出传统SAR灰度图无法表达出的信息,提高目标的识别效果。为了进一步增强场景信息的易读性,讨论了一种对三原色通道分别采用基于同概率归一化因子的计算方法。此外,在引入相似性参数的基础上,提出了一种结合场景的先验知识对极化SAR数据进行伪彩色增强处理的新方法。经A irsar全极化数据验证,该方法能明显增强图像的识别效果。

Fake color synthetic processing for polarimetric SAR data can effectively enlarge the difference between targets in a scene,project the information which cannot be provided in a traditional gray SAR image,improve recognition effect of a target.In order to enhance the legibility of a sence,a new method to calculate separate unitary factor to the tricolor channels based on the same probability is presented.Similarity parameter is introduced to a new way to process polarimetric SAR data with a pre-knowledge to the sence.An obviously Enhanced recognition effect is shown in the results achieved from Airsar full polarimetric data with the new methods.

TN957.52

国家自然科学基金