中文版 | English

在结果中检索

IOCAS-IR

浏览/检索结果: 共3条，第1-3条 帮助

已选(0)清除 条数/页：   排序方式：
A new oil spill detection algorithm based on Dempster-Shafer evidence theory CNKI期刊论文
2022
作者:  Tianlong ZHANG;  Jie GUO;  Chenqi XU;  Xi ZHANG;  Chuanyuan WANG;  Baoquan LI
收藏  |  浏览/下载：6/0  |  提交时间：2024/12/18
synthetic aperture radar (SAR) data  oil spill detection  subjective Bayesian  Faster-region convolutional neural networks(RCNN)  Dempster-Shafer evidence theory  
Environment Monitoring of Shanghai Nanhui Intertidal Zone With Dual-Polarimetric SAR Data Based on Deep Learning 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 18
作者:  Liu, Guangyang;  Liu, Bin;  Zheng, Gang;  Li, Xiaofeng
Adobe PDF(9271Kb)  |  收藏  |  浏览/下载：184/0  |  提交时间：2023/01/12
Deep convolutional neural networks (DCNNs)  deep learning  environment monitoring  intertidal zone  MB-U-2-ACNet  synthetic aperture radar (SAR) imagery  
Underwater Image Enhancement via Physical-Feedback Adversarial Transfer Learning 期刊论文
IEEE JOURNAL OF OCEANIC ENGINEERING, 2021, 页码: 12
作者:  Zhou, Yuan;  Yan, Kangming;  Li, Xiaofeng
Adobe PDF(8751Kb)  |  收藏  |  浏览/下载：229/0  |  提交时间：2022/02/18
Degradation  Adaptation models  Image restoration  Image color analysis  Image enhancement  Convolutional neural networks  Data models  Degradation model  domain adaptation  generative adversarial networks  underwater image enhancement