A look into AFRL/SNA's sensor data archive and collection methodologies

被引：0

作者：

Wilgus, JS ^{[1
]}

Miller, KL ^{[1
]}

Naidu, KD ^{[1
]}

Rice, AC ^{[1
]}

Fitzgerald, DM ^{[1
]}

Wise, AR ^{[1
]}

机构：

[1] USAF, RL, SNAA, Wright Patterson AFB, OH 45433 USA

来源：

Algorithms for Synthetic Aperture Radar Imagery XII | 2005年 / 5808卷

关键词：

Automated Target Recognition; sensor data; synthetic data; measured data; evaluation; data archive;

D O I：

10.1117/12.609905

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Having relevant sensor data available during the early phases of ATR algorithm development and evaluation projects is paramount. The source of this data primarily comes from either being synthetically-generated or from measured collections. These collections, in turn, can either be highly-controlled or operational-like exercises. This paper presents a broad overview on the types of data being housed within the Automatic Target Recognition Division of the Air Force Research Laboratory (AFRL/SNA) and that are available to the ATR developer.

引用

页码：450 / 461

页数：12

共 4 条

[1] Multi-aspect range profile extrapolation for the shooting and bouncing ray technique [J].