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RSSFormer: Foreground Saliency Enhancement for Remote Sensing Land-Cover Segmentatio 期刊论文
IEEE Transactions on Image Processing, 2023, 卷号: 32, 期号: 无, 页码: 1052-1064
作者:  Rongtao Xu;  Changwei Wang;  Jiguang Zhang;  Shibiao Xu;  Weiliang Meng;  Xiaopeng Zhang
Adobe PDF(8262Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/05/29
遥感图像语义分割  
MD-YOLO: Multi-scale Dense YOLO for small target pest detection 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 213, 页码: 12
作者:  Tian, Yunong;  Wang, Shihui;  Li, En;  Yang, Guodong;  Liang, Zize;  Tan, Min
Adobe PDF(3964Kb)  |  收藏  |  浏览/下载：128/0  |  提交时间：2023/11/16
Pest detection  Deep learning  Computer vision  Internet of Things  Precision agriculture  
DCAT: Dual Cross-Attention-Based Transformer for Change Detection 期刊论文
Remote Sensing, 2023, 卷号: 15, 期号: 9, 页码: 2395
作者:  Yuan Zhou;  Chunlei Huo;  Jiahang Zhu;  Leigang Huo;  Chunhong Pan
Adobe PDF(47919Kb)  |  收藏  |  浏览/下载：137/19  |  提交时间：2023/06/16
change detection  transformer  dual cross-attention  remote sensing  
The Development of AgriVerse: Past, Present, and Future 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Kang, Mengzhen;  Wang, Xiujuan;  Wang, Haoyu;  Hua, Jing;  de Reffye, Philippe;  Wang, Fei-Yue
Adobe PDF(4290Kb)  |  收藏  |  浏览/下载：287/75  |  提交时间：2023/02/22
Computational modeling  Biological systems  Biomass  Biological system modeling  Production  Plants (biology)  Metaverse  Agricultural metaverse (AgriVerse)  agriculture cyber-physical-social system (CPSS)  artificial systems  computational experiments  and parallel execution (ACP)  decentralized science (DeSci)  knowledge-and-data driven modeling  parallel agriculture  plant model  
XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 1, 页码: 25
作者:  Liang, Chenbin;  Xiao, Baihua;  Cheng, Bo;  Dong, Yunyun
Adobe PDF(63859Kb)  |  收藏  |  浏览/下载：318/25  |  提交时间：2023/02/22
semantic segmentation  attention mechanism  cross-attention  feature fusion