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浏览/检索结果: 共17条，第1-10条 帮助 限定条件 发表日期：2022     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 Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification 期刊论文 IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444 作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue 收藏  |  浏览/下载：23/0  |  提交时间：2023/01/09 Contour feature learning  data augmentation  deep forest  fuzzy logic   Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 10, 页码: 2570-2581 作者:  Xiao, Anqi;  Shen, Biluo;  Shi, Xiaojing;  Zhang, Zhe;  Zhang, Zeyu 收藏  |  浏览/下载：26/0  |  提交时间：2022/11/14 Imaging  Computer architecture  Fluorescence  Feature extraction  Surgery  Biomedical imaging  Medical diagnostic imaging  Deep learning  glioma grading  intraoperative imaging  multi-modal imaging  neural architecture search  NIR-II fluorescence imaging   Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation 期刊论文 BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 卷号: 78 作者:  Cai, Bin;  Xiong, Chi;  Sun, Zhiyong;  Liang, Pengpeng;  Wang, Kaifeng 收藏  |  浏览/下载：17/0  |  提交时间：2022/12/22 Brain stimulation  Path planning  Segmentation   Cosinusoidal encoding multiplexed structured illumination multispectral ghost imaging 期刊论文 OPTICS EXPRESS, 2022, 卷号: 30 作者:  Sun, Yusong;  Jian, Huang;  Shi, Dongfeng;  Zha, Linbin;  Guo, Zijun 收藏  |  浏览/下载：24/0  |  提交时间：2022/12/22 An effective pest detection method with automatic data augmentation strategy in the agricultural field 期刊论文 SIGNAL IMAGE AND VIDEO PROCESSING, 2022 作者:  Qian, Shaowei;  Du, Jianming;  Zhou, Jianan;  Xie, Chengjun;  Jiao, Lin 收藏  |  浏览/下载：13/0  |  提交时间：2022/12/23 Deep learning  Pest detection and recognition  Data augmentation  Computer vision   Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文 COGNITIVE COMPUTATION, 2022, 页码: 14 作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin 收藏  |  浏览/下载：17/0  |  提交时间：2022/07/25 Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss   PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5121-5133 作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi 收藏  |  浏览/下载：41/0  |  提交时间：2022/09/19 Object detection  prediction decoupling  convolutional neural network   VidSfM: Robust and Accurate Structure-From-Motion for Monocular Videos 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2449-2462 作者:  Cui, Hainan;  Tu, Diantao;  Tang, Fulin;  Xu, Pengfei;  Liu, Hongmin 收藏  |  浏览/下载：18/0  |  提交时间：2022/06/06 Cameras  Image reconstruction  Videos  Simultaneous localization and mapping  Video sequences  Robustness  Scalability  Structure from motion  image reconstruction  computational geometry  computer vision   A Statistical Shape-Based Patient-Specific Anatomical Structure Model 期刊论文 IEEE ACCESS, 2022, 卷号: 10, 页码: 6708-6719 作者:  Xu, Zhuye 收藏  |  浏览/下载：113/0  |  提交时间：2022/03/01 Shape  Computational modeling  Anatomical structure  Analytical models  Training  Solid modeling  Three-dimensional displays  Medical image processing  shape analysis  statistical shape model  vertices contraction  B-spline free-form deformation   Topographic Reconstruction of the "Tianwen-1" Landing Area on the Mars Using High Resolution Imaging Camera Images￥W. Yan, X. Ren, J. J. Liu, L. Zhang, W. L. Chen, D. Wang, Q. Fu, X. Tan, X. X. Zhang, H. B. Ai, B. Q. Wang, Q. Q. Zhi, Z. C. Huang and C. Song￥2022￥Ieee Transactions on Geoscience and Remote Sensing￥0196-2892￥60￥14￥High-resolution optical cameras have always been important scientific payloads in Mars exploration missions, and the Mars topographic data produced by their detection data can provide support for scientific research on Mars geomorphology and geological structure evolution. As of December 2021, there are still relatively few high-resolution image data at the submeter level on the Martian surface, with about 2.6% global coverage and even more limited stereo coverage (just about 0.4%). At the same time, there are still some difficulties in data acquisition and terrain reconstruction processing methods for high-resolution Mars images that need to be solved. This article described how we designed the in-orbit stereo imaging strategy based on the characteristics of the high-resolution imaging camera (HiRIC) of China's first Mars exploration mission (Tianwen-1), studied the technical solutions for HiRIC stereo image photogrammetry processing, and produced a topographic dataset for the "Tianwen-1" landing area, including a digital orthophoto map (DOM) with a ground sample distance (GSD) of 0.7 and 3.5 m and a digital elevation model (DEM) with a GSD of 3.5 m. Precision analysis results show that these topographic data have good consistency in planar position and elevation compared with the existing Mars terrain data and have advantages in spatial resolution and terrain detail expression, which will be widely used in the geological background study of the "Tianwen-1" landing area, as well as landing site positioning, Martian surface remote operation planning, and other Mars scientific research and engineering tasks.￥internal-pdf://4050454703/Topographic Reconstruction of the _Tianwen-1_.pdf￥10.1109/tgrs.2022.3206961￥https://ieeexplore.ieee.org/ielx7/36/9633014/09893203.pdf?tp=&arnumber=9893203&isnumber=9633014&ref=￥英语￥sci&ei 期刊论文 Ieee Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60, 页码: 14 作者:  W. Yan;  X. Ren;  J. J. Liu;  L. Zhang;  W. L. Chen 收藏  |  浏览/下载：8/0  |  提交时间：2023/06/14