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浏览/检索结果: 共484条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Parcel-Level Mapping of Artificial Forests Along the Middle Reach Valley of Yarlung Tsangpo River Based on Deep Learning Algorithms 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2025, 卷号: 22, 页码: 5 作者:  Xia, Changshuo;  Zhao, Wei;  Tan, Jianbo;  Wu, Tianjun;  Ding, Tao   |  收藏  |  浏览/下载：15/0  |  提交时间：2025/04/08 Forests  Accuracy  Feature extraction  Image segmentation  Training  Rivers  Deep learning  Remote sensing  Level set  Data mining  Artificial forests (AFs)  deep learning (DL)  image segmentation  Yarlung Tsangpo River   CG-CFPANet: a multi-task network for built-up area extraction from SDGSAT-1 and Sentinel-2 remote sensing images 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 19 作者:  Wang, Lei;  Ye, Cheng;  Chen, Fang;  Wang, Ning;  Li, Congrong   |  收藏  |  浏览/下载：69/0  |  提交时间：2024/03/04 Built-up area  deep learning  remote sensing image  SDGSAT-1  semantic segmentation   Automatic detection and extraction of lost shipping containers based on YOLO and the segment anything model 期刊论文  OAI收割 REMOTE SENSING LETTERS, 2024, 卷号: 15, 期号: 10, 页码: 1023-1034 作者:  Li, Hongtao;  Yang, Yong;  Wang, Shengping;  Chen, Zhigao;  He, Linbang   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/10/21 Multi-beam sonar  water column image  lost shipping container  zero-shot transfer  image segmentation  target extraction   Multinetwork Algorithm for Coastal Line Segmentation in Remote Sensing Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 4208312 作者:  Li, Xuemei;  Wang, Xing;  Ye, Huping;  Qiu, Shi;  Liao, Xiaohan   |  收藏  |  浏览/下载：115/0  |  提交时间：2024/09/19 Sea measurements  Image segmentation  Feature extraction  Remote sensing  Transformers  Training  Generators  Coastal line  generative adversarial network (GAN)  remote sensing  segmentation  transformer  Unet   Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation 会议论文  OAI收割 Tianjin, China, 2024/08/05 作者:  Yichen Yan;  Xingjian He;  Sihan Chen;  Shichen Lu;  Jing Liu   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/07/08 Referring Image Segmentation, CLIP, Hierarchical Fusion, Computer Vision   Vectorization Method for Remote Sensing Object Segmentation Based on Frame Field Learning: A Case Study of Greenhouses 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 5625414 作者:  Yao, Ling;  Lu, Yuxiang;  Liu, Tang;  Jiang, Hou;  Zhou, Chenghu   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/07/12 Greenhouses  Vectors  Remote sensing  Image segmentation  Image edge detection  Feature extraction  Activate contour model  deep learning  frame field learning  greenhouse   MFDiff: multiscale feature diffusion model for segmentation of 3D intracranial aneurysm from CT images 期刊论文  OAI收割 PATTERN ANALYSIS AND APPLICATIONS, 2024, 卷号: 27, 期号: 2, 页码: 13 作者:  Pei, Xinyu;  Ren, Yande;  Tang, Yueshan;  Wang, Yuanquan;  Zhang, Lei   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Diffusion model  Swin transformer  CT  Intracranial aneurysm  Image segmentation   Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation 会议论文  OAI收割 Phuket, Thailand, 2024/03/08 作者:  Yichen Yan;  Xingjian He;  Sihan Chen;  Jing Liu   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/07/08 Referring Image Segmentation, CLIP, Hierarchical Fusion, Computer Vision   CLIP-Driven hierarchical fusion for referring image segmentation 会议论文  OAI收割 Kunming, China, 2024/03/08 作者:  Yichen Yan;  Xingjian He;  Jing Liu   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/07/08 Referring Image Segmentation, CLIP, Hierarchical Fusion, Computer Vision   SurgNet: Self-Supervised Pretraining With Semantic Consistency for Vessel and Instrument Segmentation in Surgical Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2024, 卷号: 43, 期号: 4, 页码: 1513-1525 作者:  Chen, Jiachen;  Li, Mengyang;  Han, Hu;  Zhao, Zhiming;  Chen, Xilin   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Vessel and instrument segmentation  local semantic consistency  guided masked image modeling  self-supervised learning