Biological eagle eye-based method for change detection in water scenes

doi:10.1016/j.patcog.2021.108203

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Biological eagle eye-based method for change detection in water scenes
	Li, Xuan 1; Duan, Haibin 1,2; Li, Jingchun 1; Deng, Yimin 2; Wang, Fei-Yue3
发表期刊	PATTERN RECOGNITION
ISSN	0031-3203
	2022-02-01
卷号	122 页码:11
通讯作者	Duan, Haibin(hbduan@buaa.edu.cn)
摘要	Change detection (CD) is an important vision task for autonomous landing of unmanned aerial vehicles (UAV) on water. High-density photoreceptors and lateral inhibition mechanisms have inspired a novel bi-ologic computational method based on structure and properties in eagle eyes as proposed for change de-tection. We call this method "STabCD," which ensures spatiotemporal distribution consistency to achieve foreground acquisition, noise reduction, and background adaptability. Therefore, our proposed model re-sponds strongly to object information and suppresses noise and wave textures. Then, we present a cloning method to simulate water scenes and collect a new synthetic dataset (called "Synthetic Boat Sequence") for UAV vision research. Besides, we utilize synthetic datasets and corresponding real datasets to conduct change detection experiments. The experimental results indicate that: 1) the STabCD model achieves the best results in real or synthetic water landing scenes; and 2) change detection models for UAV can be quantitatively analyzed and tested under challenging synthetic scenarios. (c) 2021 Elsevier Ltd. All rights reserved.
关键词	Change detection Eagle eye Synthetic boat sequence Synthetic dataset Unmanned aerial vehicle
DOI	10.1016/j.patcog.2021.108203
关键词[WOS]	NEURAL-NETWORKS ; ALGORITHM
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000697676600003
出版者	ELSEVIER SCI LTD
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46053
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Duan, Haibin
作者单位	1.Peng Cheng Lab, 2 Xingke 1st St, Shenzhen 518055, Guangdong, Peoples R China 2.Beihang Univ, State Key Lab Virtual Real Technol & Syst, 37 XueYuan Rd, Beijing 100191, Peoples R China 3.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Xuan,Duan, Haibin,Li, Jingchun,et al. Biological eagle eye-based method for change detection in water scenes[J]. PATTERN RECOGNITION,2022,122:11.
APA	Li, Xuan,Duan, Haibin,Li, Jingchun,Deng, Yimin,&Wang, Fei-Yue.(2022).Biological eagle eye-based method for change detection in water scenes.PATTERN RECOGNITION,122,11.
MLA	Li, Xuan,et al."Biological eagle eye-based method for change detection in water scenes".PATTERN RECOGNITION 122(2022):11.