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浏览/检索结果: 共3条，第1-3条 帮助 限定条件 专题：深海科学与工程研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Vision-based underwater target real time detection for autonomous underwater vehicle subsea exploration 期刊论文 Frontiers in Marine Science, 2025, 卷号: 10, 期号: 1, 页码: 1-12 作者:  Xu GF(徐高飞);  Zhou DX(周道先);  Yuan LB(袁立标);  Guo W(郭威);  Huang ZP(黄泽鹏) 收藏  |  浏览/下载：17/0  |  提交时间：2022/12/16 autonomous underwater vehicle  subsea exploration  real time target detection  light weight convolutional neural network  underwater image enhancement   A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China 期刊论文 ORE GEOLOGY REVIEWS, 2023, 卷号: 163, 页码: 20 作者:  Zhang, Baoyi;  Xu, Kun;  Khan, Umair;  Li, Xuefeng;  Du, Linze 收藏  |  浏览/下载：2/0  |  提交时间：2024/01/22 3D geological models  Convolutional neural networks  Deconvolution  Weight of evidence  3D mineral prospectivity modeling   Vision-based underwater target real-time detection for autonomous underwater vehicle subsea exploration 期刊论文 FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 12 作者:  Xu, Gaofei;  Zhou, Daoxian;  Yuan, Libiao;  Guo, Wei;  Huang, Zepeng 收藏  |  浏览/下载：8/0  |  提交时间：2023/10/07 autonomous underwater vehicle  subsea exploration  real-time target detection  lightweight convolutional neural network  underwater image enhancement