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SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:  Ren, Zhida;  Tang, Yongqiang;  Yang, Yang;  Zhang, Wensheng
Adobe PDF(5807Kb)  |  收藏  |  浏览/下载：7/1  |  提交时间：2024/07/03
ship detection  Saliency detection  high-resolution optical images  remote sensing  Deep learning  Feature extraction  Marine vehicles  Object detection  Remote sensing  Optical sensors  Optical imaging  saliency detection  
Toward Accurate and Efficient Road Extraction by Leveraging the Characteristics of Road Shapes 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 16
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Wang, Ruisheng;  Zhang, Jiguang;  Zhang, Xiaopeng
Adobe PDF(13777Kb)  |  收藏  |  浏览/下载：145/12  |  提交时间：2023/11/17
Efficient and accurate road extraction  efficient strip transformer module (ESTM)  geometric deformation estimation module (GDEM)  road edge focal loss (REF loss)  road shape-aware network (RSANet)  
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 5, 页码: 3558-3573
作者:  Yan, Liang;  Fan, Bin;  Liu, Hongmin;  Huo, Chunlei;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(6348Kb)  |  收藏  |  浏览/下载：397/87  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)