Data Dome: Full k-space sampling data for high frequency radar research

被引：29

作者：

Naidu, K ^{[1
]}

Lin, L ^{[1
]}

机构：

[1] USAF, Sensors Directorate, Wright Patterson AFB, OH 45433 USA

来源：

ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XI | 2004年 / 5427卷

关键词：

visual-D; challenge problems; optical-quality SAR images;

D O I：

10.1117/12.548773

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Visual-D is a 2004 DARPA/IXO seedling effort that would develop a capability for reliable high confidence ID from standoff ranges. Being able to form optical-quality SAR images (exploiting full polarization, wide angle, etc) would key evidence that such a capability is achievable. The seedling team produced a public release data set and associated challenge problems to support community research in this area. The premise of this paper is to describe the full data set and 3 associated challenge problems that are defined over interesting subsets of the full data set.

引用

页码：200 / 207

页数：8