摘要
由于受到海面粗糙度的干扰和成像分辨率等的制约,背景噪音成为影响海洋SAR图像质量的主要因素;准确提取淹没在背景噪音中的海面目标,是遥感图像处理中的一个重要研究课题。采用多尺度逐点乘积方法(MPP)对SAR图像中的舰船目标进行了精确检测。详细介绍了àtrous算法及MPP方法在SAR图像目标检测中的应用,并提供了分析实例验证该方法的可靠性与实用性。
Influenced by the sea surface roughness and the resolution,the background noise is a main factor of reducing the quality of marine SAR image.Extracting accurately the object hidden in the background noise is an important subject for remote sensing image processing.The method of multiscale pointwise product(MPP)was proposed in the paper for the object detection.The algorithm of à trous and the application of MPP to SAR image were presented in detail.The image and the analyzed results were provided to validate the reliability and practicality of the presented method.
出处
《环境保护与循环经济》
2009年第10期35-36,共2页
environmental protection and circular economy
