Information fusion for image analysis: geospatial foundations for higher-level fusion

A.M. Waxman1, D.A. Fay1, B.J. Rhodes1, T.S. McKenna1, R.T. Ivey1, N.A. Bomberger1, V.K. Bykoski1, G.A. Carpenter1
1Department of Cognitive and Neural Systems, Boston University, Boston, MA, USA

Tóm tắt

In support of the AFOSR program in Information Fusion, the CNS Technology Laboratory at Boston University is developing and applying neural models of image and signal processing, pattern learning and recognition, associative learning dynamics, and 3D visualization, to the domain of Information Fusion for Image Analysis in a geospatial context. Our research is focused by a challenge problem involving the emergence of a crisis in an urban environment, brought on by a terrorist attack or other man-made or natural disaster. We aim to develop methods aiding preparation and monitoring of the battlespace, deriving context from multiple sources of imagery (high-resolution visible and low-resolution hyperspectral) and signals (GMTI from moving vehicles, and ELINT from emitters). This context will serve as a foundation, in conjunction with existing knowledge nets, for exploring neural methods in higher level information fusion supporting situation assessment and creation of a common operating picture (COP).

Từ khóa

#Image analysis #Laboratories #Context modeling #Signal processing #Pattern recognition #Image recognition #Vehicle dynamics #Visualization #Focusing #Terrorism

Tài liệu tham khảo

levine, 2000, Introduction to Neural and Cognitive Modeling, 10.4324/9781410605504

10.1016/0893-6080(91)90056-B

10.1109/72.159059

10.3758/BF03198851

10.1016/0893-6080(95)00080-1

10.1016/0893-6080(89)90035-X

mirzaoff, 2002, Kodak multi-sensor imint data collection, in 5th international conference on information fusion, annapolis 2002, 5th International Conference on Information Fusion

waxman, 2001, A prototype system for 3d color fusion and mining of multisensor/spectral imagery, 4' International Conference on Information Fusion

grossberg, 2001, Spiking Neurons in Neuroscience and Technology Special Issue of Neural Networks, 14

waxman, 2002, Sensor fusion: Biology to technology, The Handbook of Brain Theory and Neural Networks

lewis, 2002, Multisensor georegistration using hart (high accuracy registration technique), 5' International Conference on Information Fusion

fay, 2001, Fusion of visible, infrared and 3d ladar imagery, 4 H International Conference on Information Fusion

fay, 2000, Fusion of multisensor imagery for night vision: Color visualization, target learning and search, Proc 3rd Int Conf Information Fusion, 10.1109/IFIC.2000.862702

streilein, 2000, Fused multisensor image mining for feature foundation data, Proc 3rd Int Conf Information Fusion, 10.1109/IFIC.2000.862686

ross, 2000, Multisensor image fusion for 3d site visualization and search, Proc 3rd Int Conf Information Fusion, 10.1109/IFIC.2000.862685

kruse, 2000, The 1999 aig/hyvista hymap group shoot: Commercial hyperspectral sensing is here, Algorithms for Multispectral Hyperspectral and Ultraspectral Imagery VI SPIE-4049, 210, 10.1117/12.410343