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Change detection with absolute difference of multiscale deep features

文献类型：期刊论文

作者Huang, Rui1,2; Zhou, Mo1; Zhao, Qiang3; Zou, Yaobin2
刊名NEUROCOMPUTING
出版日期2020-12-22
卷号418页码:102-113
关键词Change detection Absolute difference Deep learning Multiscale
ISSN号0925-2312
DOI10.1016/j.neucom.2020.08.027
英文摘要Most of the previous change detection methods are designed based on the difference of two images. However, directly using intensity or the features to generate difference image may be easily affected by the illumination and camera pose variations. In this paper, we show that accurate change detection results can be obtained by fusing the absolute difference of multiscale deep features of the reference and query images. Specifically, we build a change detection network, which computes absolute difference of the multiscale deep features of image pairs and learns adaptive features for change detection. The pro-posed network is based on off-the-shelf CNNs, whose convolutional layer blocks are used as feature extracting modules to extract multiscale deep features. We devise intra and cross encoding modules. The intra encoding modules are used for learning change related features from extracted features. These features are used for generating absolute difference features (ADFs). By progressively fusing the ADFs from high to low layers with cross encoding modules, we obtain full resolution of change detection result. Extensive experiments on three change detection benchmark datasets validate the superiority and effectiveness of the proposed method over the state-of-the-art change detection methods. (c) 2020 Elsevier B.V. All rights reserved.
资助项目Scientific research project of Tianjin Education Commission[2019KJ126] ; Natural Science Foundation of Tianjin[18JCQNJC00400] ; Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering[2018SDSJ02]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000589911100009
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/16079]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Huang, Rui
作者单位1.Civil Aviat Univ China, Sch Comp Sci & Technol, Tianjin 300300, Peoples R China
2.China Three Gorges Univ, Hubei Key Lab Intelligent Vision Based Monitoring, Yichang 443002, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Huang, Rui,Zhou, Mo,Zhao, Qiang,et al. Change detection with absolute difference of multiscale deep features[J]. NEUROCOMPUTING,2020,418:102-113.
APA Huang, Rui,Zhou, Mo,Zhao, Qiang,&Zou, Yaobin.(2020).Change detection with absolute difference of multiscale deep features.NEUROCOMPUTING,418,102-113.
MLA Huang, Rui,et al."Change detection with absolute difference of multiscale deep features".NEUROCOMPUTING 418(2020):102-113.

入库方式： OAI收割

来源：计算技术研究所

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