Regular articlePoint target detection utilizing super-resolution strategy for infrared scanning oversampling system

- A novel detection framework utilizing super-resolution (SR) strategy is presented.
- An accelerated SR strategy is utilized to realize fast SR process.
- An adaptive MRF-based regularization is designed to aggregate target energy.
- Superiority in detection performance, robustness and efficiency are demonstrated.

To improve the resolution of remote sensing infrared images, infrared scanning oversampling system is employed with information amount quadrupled, which contributes to the target detection. Generally the image data from double-line detector of infrared scanning oversampling system is shuffled to a whole oversampled image to be post-processed, whereas the aliasing between neighboring pixels leads to image degradation with a great impact on target detection. This paper formulates a point target detection method utilizing super-resolution (SR) strategy concerning infrared scanning oversampling system, with an accelerated SR strategy proposed to realize fast de-aliasing of the oversampled image and an adaptive MRF-based regularization designed to achieve the preserving and aggregation of target energy. Extensive experiments demonstrate the superior detection performance, robustness and efficiency of the proposed method compared with other state-of-the-art approaches.