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《Hydrographic Surveying and Charting》 2006-04
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Feature Selection in Hyperspectral Classification Based on Tabu Search Algorithm

YANG Zhe-hai~(1,3),ZHANG Ya-zheng~(2),GONG Da-peng~(3),LI Zhi-xin~(3),HAN Jian-feng~(3)(1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou,Henan,450052;2.Dalian Naval Academy,Dalian,Liaoning,116018;3.65015 Troops,Dalian,Liaoning,116023)  
In hyperspectral classification,it is necessary to reduce both the number of input dimensionality and maintain the information contained in original hyperspectral data.Based on analyzing the limitations of the traditional dimensionality reduction methods,the paper introduced the Tabu Search into hyperspectral feature selection.Also,the author pointed out that due to the advantage of solving the global optimal problems,Tabu Search algorithm will be widely used in hyperspectral feature reduction.Experimental results demonstrate that Tabu Search is very helpful to achieve good classification performance by selecting the most useful bands which will be used in classifiers.
【Fund】: 国家863计划资助项目(2001AA131090)
【CateGory Index】: P237
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