海洋测绘2017，Vol.37Issue(4)：62-66,5.DOI:10.3969/j.issn.1671-3044.2017.04.014
尺度自适应分层多阈值热红外遥感舰船检测
Scale-adaptive Hierarchical Multi-threshold Detection of Ships in Thermal Infrared Remote Sensing Images
马兰 1陈筱勇2
作者信息
- 1. 解放军信息工程大学地理空间信息学院,河南郑州450001
- 2. 解放军国际关系学院航天侦察系,江苏南京210039
- 折叠
摘要
Abstract
In this paper,an approach to hierarchical multi-threshold detection of offshore ship targets based on scale-adaptive selection is proposed to address deficiencies in the recognition of TIR remote sensing images due to their characteristic low contrast,striping noise,and low spatial resolution.Scale-adaptive selection is conducted as per the maximum value of the normalized Laplacian of Gaussian for ship target image templates.Then offshore ships are detected through multi-threshold screening of the selected Gaussian multi-scale spatial differences.Finally,experiments are conducted to test the impact of scale selection as well as the blocking method for different types of ship image templates on the separation of ship targets in TIR images.The results show that the proposed approach can filter out similar regions according to template scales and achieve effective detection based on well-selected scale and threshold parameters,with a certain level of noise resistance.关键词
热红外遥感/热红外图像/尺度选择/分层多阈值/舰船检测/目标检测Key words
TIR remote sensing/TIR images/scale selection/hierarchical multi-threshold/ship detection/target detection分类
天文与地球科学引用本文复制引用
马兰,陈筱勇..尺度自适应分层多阈值热红外遥感舰船检测[J].海洋测绘,2017,37(4):62-66,5.
