blur and alias.A restoration of reciprocal cell is adopted to reduce alias of the single frame
which is based on geometrical characteristics of sensor.The restoration transform image into frequency domain.The superposition part of the frequency is deleted in order to dealias around the grids.And restoration of inverse filter is used to deblur and reduce the colour noise.Finally
method of the complex wavelet is combined to reduce the white noise.The reason is that the complex wavelet has property of the direction selecting.The test results indicate that the proposed restoration is more better than other conventional restorations.This restoration is fit to guiding practical projects on account of dealiasing.
Shared Super-Resolution Dual-Branch Network for Spatiotemporal Fusion of Remote Sensing Images
Multi-Stage Feature Fusion Object Detection Method for Remote Sensing Image
Anchor-Free Transformer Algorithm for Aerial Remote Sensing Target Detection
Cascaded Inverse Residual Network for Lightweight Object Detection Model in Remote Sensing Image
An Novel Algorithm to Remove the Thin Cloud from Remote Sensing Images Based on High-Dimensional Space Geometrical Informatics
Related Author
ZHANG Jing
ZHANG Xiao-xi
FANG Shuai
HUANG Yun
GUO Wei
ZHANG Fan
CHEN Li
YU Jiu-yang
Related Institution
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