光学学报, 2019, 39 (8): 0815004, 网络出版: 2019-08-07
基于边缘线分析与聚合通道特征的港口舰船检测 下载: 1069次
Docked Ship Detection Based on Edge Line Analysis and Aggregation Channel Features
图 & 表
图 1. 海陆分割处理。(a)遥感图像;(b)滤波前海陆灰度分布;(c)滤波后海陆灰度分布;(d)海陆分割二值图
Fig. 1. Sea-land segmentation processing. (a)Remote sensing image; (b) gray distribution of sea and land before filtering; (c) gray distribution of sea and land after filtering; (d) binary image of sea-land segmentation
图 2. 典型港口及其简化图。(a) 典型港口;(b) 港口形状简化图
Fig. 2. Typical ports and simplified port shape. (a) Typical ports; (b) simplified port shape
图 3. 港口拐点分布图。(a)凹凸度特征筛选前;(b)凹凸度特征筛选后
Fig. 3. Port inflection point distributions. (a) Before convex-concave feature selection; (b) after convex-concave feature selection
图 7. 部分训练样本。(a)正样本;(b)负样本
Fig. 7. Partial training samples. (a) Positive samples;(b) negative samples
图 9. 3种特征部分的检测效果图(美国诺克福港口)。(a) Haar特征检测效果;(b) HOG特征检测效果;(c)聚合通道特征检测效果
Fig. 9. Partial detection results by three kinds of features (US port of Norfolk). (a) Detection results of Haar; (b) detection results of HOG; (c) detection results of aggregation channel features
图 10. 检测效果图(费城海军造船厂港口)。(a)原图像;(b)港口拐点分布图;(c) Haar特征检测效果;(d) HOG特征检测效果;(e)聚合通道特征检测效果
Fig. 10. Detection results by three kinds of features (Philadelphia navy yard harbor). (a) Original image; (b) port inflection point distribution; (c) detection results of Haar; (d) detection results of HOG; (e) detection results of aggregation channel features
表 13种特征的检测效果
Table1. Detection results of three kinds of features
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黎经元, 厉小润, 赵辽英. 基于边缘线分析与聚合通道特征的港口舰船检测[J]. 光学学报, 2019, 39(8): 0815004. Jingyuan Li, Xiaorun Li, Liaoying Zhao. Docked Ship Detection Based on Edge Line Analysis and Aggregation Channel Features[J]. Acta Optica Sinica, 2019, 39(8): 0815004.