Deep-sea visual dataset of the South China sea

被引：0
|
作者：
Li, Jianru [1 ]
Ma, Chunyan [2 ]
Lu, Huimin [3 ]
机构：
[1] Tongji Univ, Stat Key Lab Marine Geol, Shanghai, Peoples R China
[2] Yangzhou Univ, Sch Informat Engn, Yangzhou, Jiangsu, Peoples R China
[3] Kyushu Inst Technol, Sch Engn, Kitakyushu, Fukuoka, Japan
来源：
WIRELESS NETWORKS | 2024年 / 30卷 / 05期
关键词：
Deep sea; Underwater image; Dataset; CYBER-PHYSICAL ATTACKS; HISTOGRAM EQUALIZATION; UNDERWATER IMAGE; NETWORK; ENHANCEMENT; SCHEME; PROTECTION; RETINEX;
D O I：
10.1007/s11276-020-02417-w
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The deep sea has abundant resources and is regarded as the "sixth continent" that humans can use. Although research on the deep sea has made some progress, its exploration is not deep enough. The acquisition and analysis of deep-sea images can provide important technical means for deep-sea exploration and the acquisition of information. However, there is currently no complete underwater image dataset. For this reason, this paper is the first deep-sea visual dataset of the South China Sea, contains over 100 TB videos and 1 million high quality images. This paper also applies the dataset to underwater image enhancement and image superresolution, and the experiment proves the effectiveness of the dataset.
引用
收藏
页码：3561 / 3570
页数：10
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