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Real time moving target tracking and identification with hyperspectral imagery is still very challenging with conventional sensors and algorithms. The increased information content of hyperspectral imaging has enabled improved classification and quantification of targets of interest. However, recording hyperspectral data for target classification is very time consuming. We design a sensor platform with multi-modalities, consisting of a dual-panoramic peripheral vision system and a narrowdoi:10.1109/aipr.2008.4906475 dblp:conf/aipr/WangZ08 fatcat:sqrviy4yqnfshpm77cmapraao4