Underwater Object Recognition Based on Deep Encoding-Decoding Network

doi:10.1007/s11802-019-3858-x

CIOMP OpenIR

	Underwater Object Recognition Based on Deep Encoding-Decoding Network
	X.H.Wang; J.H.Ouyang; D.Y.Li; G.Zhang
	2019
发表期刊	Journal of Ocean University of China
ISSN	1672-5182
卷号	18 期号:2 页码:376-382
摘要	Ocean underwater exploration is a part of oceanography that investigates the physical and biological conditions for scientific and commercial purposes. And video technology plays an important role and is extensively applied for underwater environment observation. Different from the conventional methods, video technology explores the underwater ecosystem continuously and non-invasively. However, due to the scattering and attenuation of light transport in the water, complex noise distribution and lowlight condition cause challenges for underwater video applications including object detection and recognition. In this paper, we propose a new deep encoding-decoding convolutional architecture for underwater object recognition. It uses the deep encoding-decoding network for extracting the discriminative features from the noisy low-light underwater images. To create the deconvolutional layers for classification, we apply the deconvolution kernel with a matched feature map, instead of full connection, to solve the problem of dimension disaster and low accuracy. Moreover, we introduce data augmentation and transfer learning technologies to solve the problem of data starvation. For experiments, we investigated the public datasets with our proposed method and the state-of-the-art methods. The results show that our work achieves significant accuracy. This work provides new underwater technologies applied for ocean exploration.
关键词	deep learning,transfer learning,encoding-decoding,underwater object,object recognition,Oceanography
DOI	10.1007/s11802-019-3858-x
收录类别	SCI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/62983
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	X.H.Wang,J.H.Ouyang,D.Y.Li,et al. Underwater Object Recognition Based on Deep Encoding-Decoding Network[J]. Journal of Ocean University of China,2019,18(2):376-382.
APA	X.H.Wang,J.H.Ouyang,D.Y.Li,&G.Zhang.(2019).Underwater Object Recognition Based on Deep Encoding-Decoding Network.Journal of Ocean University of China,18(2),376-382.
MLA	X.H.Wang,et al."Underwater Object Recognition Based on Deep Encoding-Decoding Network".Journal of Ocean University of China 18.2(2019):376-382.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Underwater Object Re（464KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载