Theoretical foundations of NRL spectral target detection algorithms

Schaum Alan

首页> 外文期刊>Applied optics >Theoretical foundations of NRL spectral target detection algorithms

【24h】

Theoretical foundations of NRL spectral target detection algorithms

机译：NRL光谱目标检测算法的理论基础

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The principal spectral detection algorithms developed at the Naval Research Laboratory (NRL) over the past 20 years for use in operational systems are described. These include anomaly detectors, signature-based methods, and techniques for anomalous change detection. Newer derivations are provided that have motivated more recent work. Mathematical methods facilitating the use of forward models for the prediction of spectral signature statistics are described and a detection algorithm is derived for ocean surveillance that is based on principles of clairvoyant fusion. (C) 2015 Optical Society of America

机译：描述了海军研究实验室（NRL）在过去20年中开发的用于操作系统的主要光谱检测算法。这些包括异常检测器，基于签名的方法和异常变化检测技术。提供了更新的推导，这些推导推动了最近的工作。描述了有助于将前向模型用于频谱特征统计预测的数学方法，并基于透视融合原理推导了用于海洋监视的检测算法。（C）2015年美国眼镜学会

著录项

来源
《Applied optics》 |2015年第31期|共12页
作者
Schaum Alan;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Theoretical foundations of NRL spectral target detection algorithms [J] . Schaum Alan Applied optics . 2015,第31期

机译：NRL光谱目标检测算法的理论基础
2. A COMPARATIVE ANALYSIS OF SPECTRAL INFORMATION EXTRACTION ALGORITHMS FOR TARGET DETECTION OF HYDROTHERMAL ALTERATION ZONES USING ASTER SATELLITE IMAGE DATA [J] . A. J. Abubakar, M. Hashim, A. B. Pour, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2020,第5期

机译：使用Aster卫星图像数据进行光谱信息提取算法的比较分析水热改变区域的目标检测
3. Performance Prediction of Hyperspectral Target Detection Algorithms via Importance Sampling [J] . Loughlin Cooper, Truslow Eric, Manolakis Dimitris, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2019,第8期

机译：基于重要性采样的高光谱目标检测算法性能预测
4. Nonlinear adaptive recursive least squares (NRLS) algorithm for target detection in infrared imagery [C] . Mohammad Abu-Tahnat, Colorado State Univ., Fort Collins, Detection and Remediation Technologies for Mines and Minelike Targets . 1996

机译：用于红外图像目标检测的非线性自适应递归最小二乘（NRLS）算法
5. Performance Prediction of Hyperspectral Target Detection Algorithms via Importance Sampling [D] . Loughlin, Cooper. 2018

机译：基于重要性采样的高光谱目标检测算法性能预测
6. Graph Theoretic Foundations of Multibody Dynamics Part II: Analysis and Algorithms [O] . Abhinandan Jain -1

机译：多体动力学第二部分的图形理论基础：分析和算法
7. Performance Comparison of Hyperspectral Target Detection Algorithms in Altitude Varying Scenes [O] . Adam P. Cisz, John R. Schott 2015

机译：高度变化场景下高光谱目标检测算法的性能比较
8. Improved Feature Extraction, Feature Selection, and Identification Techniques That Create a Fast Unsupervised Hyperspectral Target Detection Algorithm [R] . Johnson, R. J. 2008

机译：改进的特征提取，特征选择和识别技术，创建快速无监督的高光谱目标检测算法

Theoretical foundations of NRL spectral target detection algorithms

摘要

著录项

相似文献

相关主题

期刊订阅