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.
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页数：13
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