首页> 美国政府科技报告 >Object Recognition Methodology for the Assessment of Multi-Spectral Fusion Algorithms: Phase I

【24h】

Object Recognition Methodology for the Assessment of Multi-Spectral Fusion Algorithms: Phase I

机译：用于评估多光谱融合算法的物体识别方法：第一阶段

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this effort we acquired and registered a multi-spectral dynamic image test set with the intent of using the imagery to assess the operational effectiveness of static and dynamic image fusion techniques for a range of relevant military tasks. This paper describes the image acquisition methodology, the planned human visual performance task approach, the lessons learned during image acquisition and the plans for a future, improved image set, resolution assessment methodology and human visual performance task.

著录项

作者
Pinkus, A. R.; Toet, A.; Task, H. L.;
展开▼
作者单位

展开▼
年度 2010
页码 1-20
总页数 20
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Military applications ; Pattern recognition ; Performance(Human) ; Multispectral ; Recognition ; Data fusion ; Lessons learned ; Methodology ; Algorithms ; Resolution;

机译：军事应用;模式识别;性能（人）;多光谱;识别;数据融合;经验教训;方法论;算法;分辨率;

相似文献

外文文献
中文文献
专利

1. Multi-object intergroup gesture recognition combined with fusion feature and KNN algorithm [J] . Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2020,第3期

机译：多对象Intergrom手势识别与融合特征和KNN算法相结合
2. Concept and methodology for automated data preprocessing of object recognition algorithm training [J] . Stefan Giosan, Raul Matei, Vlad-Calin Albota, Procedia CIRP . 2021,第a期

机译：对象识别算法培训自动数据预处理的概念与方法
3. Recognition of the Gait Phase Based on New Deep Learning Algorithm Using Multisensor Information Fusion [J] . Wang Fangzheng, Yan Lei, Xiao Jiang Sensors and materials . 2019,第10期

机译：基于多传感器信息融合的新型深度学习算法的步态相位识别
4. Object recognition methodology for the assessment of multi-spectral fusion algorithms: Phase 1 [C] . Alan R. Pinkus, Alexander Toet, H. Lee Task Signal processing, sensor fusion, and target recognition XVIII . 2009

机译：评估多光谱融合算法的对象识别方法：阶段1
5. Concurrent algorithms and performance modeling for multi-spectral image fusion applications. [D] . Achalakul, Tiranee. 2000

机译：用于多光谱图像融合应用程序的并发算法和性能建模。
6. Apple Fruit Recognition Algorithm Based on Multi-Spectral Dynamic Image Analysis [O] . Juan Feng, Lihua Zeng, Long He 2019

机译：基于多光谱动态图像分析的苹果果实识别算法
7. IMPROVING THE EFFICIENCY OF THE SOFTWARE IMPLEMENTATION OF IMAGE RECOGNITION ALGORITHMS WITH A DETAILED ASSESSMENT OF THE STATUS OF THE MASSIVE NUMBER OF OBJECTS [O] . D. S. Ostapov, S. V. Usatikov 2016

机译：提高了图像识别算法的软件实现的效率，详细评估了大量对象的状态

Object Recognition Methodology for the Assessment of Multi-Spectral Fusion Algorithms: Phase I

摘要

著录项

相似文献

相关主题

期刊订阅