基于PQFT模型和小波变换的遥感图像舰船目标特征提取

Ship feature extraction from remote sensing image based on wavelet transform and PQFT model

海上舰船的目标检测和特征提取是非常重要的研究课题,不仅可以用于军事领域的敌方船只侦察,还可以用于海上交通管理和渔船监管等领域。高分辨率的舰船光学遥感图像含有丰富的舰船航行状态信息,研究舰船光学遥感图像的分析技术有助于提高舰船目标识别和特征提取的效率。本文详细介绍了图像处理技术中的PQFT模型和小波变换理论,并基于PQFT模型和小波变换研究了舰船高分辨率遥感图像的识别和特征提取技术,有重要的理论和实际应用意义。

Target detection and feature extraction of ship is a very important research topic, not only can be used in the field of military reconnaissance of enemy ships, can also be used in the fields of maritime traffic management and supervision of fishing vessels. The high-resolution optical remote sensing images rich in ship status information analysis technology of warship optical remote sensing image is helpful to improve the efficiency of target recognition and feature extraction. This paper introduces the PQFT model and the theory of wavelet transform in image processing, and PQFT model and wavelet transform based on the study of the ship high resolution remote sensing image recognition and feature extraction technology,has important theoretical and practical significance.