【摘要】 针对可见光遥感图像中海上舰船的复杂背景,包括粗糙海面、云层遮挡以及云层阴影所造成的舰船目标难以提取的情况,提出一种云层舰船模型。模型引入基于形状距离的舰船的形状先验信息,根据云区的亮度和阴影特征构建模型以及对应的能量函数。能量函数中与形状对应的形状能量大小通过与形状先验模板的相似程度来计算。基于图割的能量函数最小化过程实现了舰船目标的提取。实验结果表明了该模型及方法在云区无阴影和有阴影两种情况下对单个或多个舰船目标提取的有效性。更多还原

【Abstract】 Ship extraction is usually a challenging problem because of different complicated backgrounds, including coarse sea surface, clouds and shadows. A new cloud over ship model is proposed according to the features of intensity and whether the cloud has a shadow or not. Firstly, shape prior is introduced based on shape distance metrics. An energy function is then constructed in which shape energy is computed according to the similarity of the shape information of the ship and its corresponding shape template. Secondly, the energy function is minimized based on graph cut theory. The experiment results show efficiency of ship extraction in cloudy sea backgrounds in optical remote sensing images whether there is a cloud shadow or not.更多还原