Feature Detector Model for Multi-Spectral Remote Sensing Image Inspired by Insect Visual System

Inspired by the theory of interaction between spatial feature and temporal feature in insect visual system,beyond the traditional feature extraction method,this paper proposes a feature detector model for multi-spectral remote sensing image,which is based on the cross correlation of multi-band,and without the limitation of the global window size and parameters.By the analysis in frequency domain,it showed that this feature detector model can respond to the edge and texture by integrating spectral information and spatial information.Beside this,the proposed feature detector model was effective and robust to the random noise.This paper also brings the feature detector model into reconstruction algorithm of remote sensing image.Reconstructed results validate the effectiveness of the feature detector model,which contains rich high-frequency information.