Data Model LUT based Change and Anomaly Detection for Real-Time Multispectral Image Characterization

被引：0

作者：

Jaenisch, Holger ^{[1
]}

Handley, James ^{[2
]}

机构：

[1] Johns Hopkins Univ, Zanvyl Krieger Sch, Baltimore, MD 21218 USA

[2] Licht Strahl Engn INC, Birmingham, AL 35773 USA

来源：

ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XVIII | 2012年 / 8390卷

关键词：

Data Modeling; FMV; smart camera; micro UAV; Change Detection; multispectral;

D O I：

10.1117/12.915176

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a method for partitioning a multispectral image into fixed size look-up tables (LUTs) that are dynamically updated for presence or absence of simple distribution characterizing features of the sub-frames they represent. If the features have been previously observed, the sub-frame is recognized and no update occurs, if not the table is updated and a suitable anomaly reported. Our method enables dynamic change detection to occur at multiple wavelengths independently by creating suitable LUTs for each wavelength band. Details of our approach are presented.

引用

页数：13

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