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.