Fusion of multi-sensor passive and active 3D imagery

被引:12
|
作者
Fay, DA [1 ]
Verly, JG [1 ]
Braun, MI [1 ]
Frost, C [1 ]
Racamato, JP [1 ]
Waxman, AM [1 ]
机构
[1] MIT, Lincoln Lab, Sensor Exploitat Grp, Lexington, MA 02420 USA
来源
关键词
sensor fusion; image fusion; real-time processing; data mining; target recognition; ladar; range data; 3D models;
D O I
10.1117/12.438025
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
We have extended our previous capabilities for fusion of multiple passive imaging sensors to now include 3D imagery obtained from a prototype flash ladar. Real-time fusion of low-light visible + uncooled LWIR + 3D LADAR, and SWIR + LWIR + 3D LADAR is demonstrated. Fused visualization is achieved by opponent-color neural networks for passive image fusion, which is then textured upon segmented object surfaces derived from the 3D data. An interactive viewer, coded in Java3D, is used to examine the 3D fused scene in stereo. Interactive designation, learning, recognition and search for targets, based on fused passive + 3D signatures, is achieved using Fuzzy ARTMAP neural networks with a Java-coded GUI. A client-server web-based architecture enables remote users to interact with fused 3D imagery via a wireless palmtop computer.
引用
收藏
页码:219 / 230
页数:12
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