Fast real-time target detection via target-oriented band selection

摘要

Real-time target detection requires immediate decision-making. For fast implementation of the entire detection process, offline band selection is applied. Because target signature is usually the only prior knowledge before running causal real-time detectors, traditional band selection methods based on statistics of the entire data set cannot be used before detection. This paper develops a band selection method based on target spectrum alone, extracting bands that can preserve main features of the target. It is expected that the selected bands can remain the detection accuracy unchanged and speed up the detection process. To substantiate the utility of proposed method, causal real-time constrained energy minimization (RT-CEM) is tested on a real hyperspectral data set for experiments.