Remote Sensing Image Jitter Detection and Compensation Using Convolutional Neural Network
This the code from the paper Remote Sensing Image Jitter Detection and Compensation Using Convolutional Neural Network
We use neural networks to correct the deformed remote sensing images.
Framework: python3.5 + tensorflow1.4 + keras the most latest version
Platform: Windows Spyder
Proposed architecture:
Figure 1. Architecture of the proposed frameworkCNN framework
Figure 2. Architecture of the proposed neural networkExperiment results on real remote sensing images are expressed below:
Figure 3. Left: Raw deformed image; Middle: Resotred image by proposed method. Right: Resoted image by on board sensors Figure 4. Left: Raw deformed image; Middle: Resotred image by proposed method. Right: Resoted image by on board sensors Figure 4. Left: Raw deformed image; Middle: Resotred image by proposed method. Right: Resoted image by on board sensors