Fig. 1. Principle diagram of micro-scanning by ens translation

Fig. 2. Schematic of micro-scanning realized by mirror-tilting

Fig. 3. Working principle of micro-scanning imaging by plane rotating. (a) Micro-scanning by one optical plane element; (b) micro-scanning by four optical plane elements; (c) micro-scanning by helix optical plane element

Fig. 4. Sub-pixel imaging technique used in SPOT5 satellite. (a) Super-sampling and hyper-sampling detector array; (b) data processing for resolution improvement

Fig. 5. Schematic of sub-pixel imaging technology by two linear arrays. (a) Two-linear-array detector for sub-pixel imaging based on prismatic decomposition; (b) integrated chip; (c) mechanical assembly of two-linear-array detector

Fig. 6. Sub-pixel imaging by two-plane-array detector and over-sampling image. (a) Sub-pixel imaging based on prismatic decomposition; (b) dislocation relationship of two plane arrays; (c) over-sampling image

Fig. 7. Sub-pixel imaging by four-plane-array detector and over-sampling image. (a) Example 1 for sub-pixel imaging; (b) example 2 for sub-pixel imaging; (c) over-sampling image

Fig. 8. Two-frame diagonal scan point grid

Fig. 9. Schematic of two-frame B-spline interpolation

Fig. 10. Sub-pixel imaging by four-plane-array detector

Fig. 11. Non-boundary sub-pixel imaging processing based on error optimization. (a) Sub-sampling image sequence; (b) oversampling image; (c) non-boundary reconstruction processing; (d) result after error optimization

Fig. 12. Reconstruction process of single frame remote sensing image. (a) Original image before processing; (b) reconstruction result by regularized MAP method; (c) reconstruction result by MPMAP method; (d) local amplification of (a); (e) local amplification of (b); (f) local amplification of (c)

Fig. 13. Super-resolution reconstruction process of remote sensing image sequence. (a) Original image sequence before processing (10240 pixel×10240 pixel); (b) super-resolution reconstruction result (20480 pixel×20480 pixel); (c) local interpolation amplification of (a) (200 pixel×200 pixel); (d) local image of (b) (200 pixel×200 pixel)

Fig. 14. Super-resolution reconstruction process of infrared remote sensing image sequence. (a) Five frames of original low-resolution fifteen-frame images (128 pixel×128 pixel); (b) result after bilinear interpolation of first frame in (a) (384 pixel×384 pixel); (c) reconstruction result of multiple-frame image (384 pixel×384 pixel)