Constrained-Target Band Selection Based on Band Combination for Hyperspectral Target Detection Using CEM

Abstract

Selecting an appropriate band subset is a vital problem for hyperspectral target detection. The constrained-target band selection method, derived from constrained energy minimization (CEM), can select different band subsets according to different targets. The selected band will be used to detect the target by CEM. However, the current methods did not consider the adaptation of the selected band with CEM. We propose a constrained target band selection method based on band combination, which treats the selected band as a whole to match the input requirements of CEM to detect the specific target. Firstly, Criteria for evaluating band combination is proposed based on the constrained-target band selection method. Secondly, the features of these band combinations are proposed. Thirdly, the key band set is proposed to reduce the range of search band combinations from the whole band to a subset of the whole band, based on these features and the sparse constrained band selection (SCBS) method. Finally, the desired band combination is searched in the key band set based on these features. Experiments show that the proposed method offers promising results.