唐天翼,朱长仁

• 1:北京航天飞行控制中心
• 2:国防科技大学电子科学与工程学院ATR重点实验室

摘要(Abstract)：

多光谱遥感图像海洋背景下往往存在云、海浪、海岛、海岸等多种干扰情况,导致舰船检测很具有挑战性。因此提出一种基于光谱上下文特征的舰船感兴趣区域(ROI)鉴别算法。在舰船ROI切片基础上,按照主轴轴向和轴两侧子块划分,提出一种光谱"凹凸性"的特征描述方法和一种方向对称性的特征提取方法,构建并实现了组合光谱"凹凸性"和梯度方向对称性的光谱上下文特征描述方法,利用SVM分类实现舰船ROI鉴别。实验证明,在不同的图像分辨率情况下,引入光谱上下文特征的方法能够有效剔除大量云、海浪、海岛、海岸等虚警,具有较好的鲁棒性、有效性、适用性。

关键词(KeyWords)： 多光谱遥感图像;舰船ROI鉴别;光谱特征;梯度方向;SVM分类;图像分辨率

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(61301235);; 博士后基金(2014M550872);; 国防预研基金~~

作者(Author): 唐天翼,朱长仁

DOI: 10.16652/j.issn.1004-373x.2018.12.033

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