首页> 外文OA文献 >Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the Real-Time Prediction of Weed Aboveground Fresh Weight in a Field Environment

【2h】

Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the Real-Time Prediction of Weed Aboveground Fresh Weight in a Field Environment

机译：基于RGB-D数据的双流致密特征融合网络，用于现场环境中杂草实时预测的实时预测

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Longzhe Quan; Hengda Li; Hailong Li; Wei Jiang; Zhaoxia Lou; Liqing Chen;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Dense Connectivity Based Two-Stream Deep Feature Fusion Framework for Aerial Scene Classification [J] . Yunlong Yu, Fuxian Liu Remote Sensing . 2018,第7期

机译：基于密集连接的两流深度特征融合框架用于空中场景分类
2. RGB-D Human Action Recognition of Deep Feature Enhancement and Fusion Using Two-Stream ConvNet [J] . Yun Liu, Ruidi Ma, Hui Li, Journal of Sensors . 2021,第a期

机译：RGB-D使用双流ConvNet的深度特征增强和融合的RGB-D
3. Real-time human body tracking based on data fusion from multiple RGB-D sensors [J] . Nunez Juan C., Cabido Raul, Montemayor Antonio S., Multimedia Tools and Applications . 2017,第3期

机译：基于来自多个RGB-D传感器的数据融合的实时人体跟踪
4. RGB-D fusion: Real-time robust tracking and dense mapping with RGB-D data fusion [C] . Lee Seong-Oh, Lim Hwasup, Kim Hyoung-Gon, IEEE/RSJ International Conference on Intelligent Robots and Systems . 2014

机译：RGB-D融合：具有RGB-D数据融合的实时鲁棒跟踪和密集映射
5. Acoustic-Oceanographic Data Fusion for Prediction of Oceanic Acoustic Fields [D] . Martins, Nelson Estêv?o. 2014

机译：用于预测海洋声田的声学 - 海洋数据融合
6. A Real-Time Smooth Weighted Data Fusion Algorithm for Greenhouse Sensing Based on Wireless Sensor Networks [O] . Tengyue Zou, Yuanxia Wang, Mengyi Wang, 2017

机译：基于无线传感器网络的温室平滑实时加权数据融合算法
7. Dense Connectivity Based Two-Stream Deep Feature Fusion Framework for Aerial Scene Classification [O] . Yunlong Yu, Fuxian Liu 2018

机译：基于密集的连接基于两流的深度特征融合框架，用于空中场景分类

Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the Real-Time Prediction of Weed Aboveground Fresh Weight in a Field Environment

著录项

引文网络

相似文献

相关主题

期刊订阅