Lunar surface image restoration using U-net based deep neural networks
Image restoration is a technique that reconstructs a feasible estimate of the original image from the noisy observation. In this paper, we present a U-Net based deep neural network model to restore the missing pixels on the lunar surface image in a context-aware fashion, which is often known as image inpainting problem. We use the grayscale image of the lunar surface captured by Multiband Imager (MI) onboard Kaguya satellite for our experiments and the results show that our method can reconstruct the lunar surface image with good visual quality and improved PSNR values.
Code (0)
등록된 구현이 없습니다.
Tasks
Image InpaintingImage RestorationSimilar Papers 제목 키워드 기반
Adapting Stereo Vision From Objects To 3D Lunar Surface Reconstruction with the StereoLunar Dataset
Accurate 3D reconstruction of lunar surfaces is essential for space exploration. However, existing stereo vision reconstruction methods struggle in this context due to the Moon's lack of texture, difficult lighting varia…
3D ReconstructionPose EstimationUsing MRNet to Predict Lunar Rock Categories Detected by Chang'e 5 Probe
China's Chang'e 5 mission has been a remarkable success, with the chang'e 5 lander traveling on the Oceanus Procellarum to collect images of the lunar surface. Over the past half century, people have brought back some lu…
Classification of the lunar surface pattern by AI architectures: Does AI see a rabbit in the Moon?
In Asian countries, there is a tradition that a rabbit, known as the Moon rabbit, lives on the Moon. Typically, two reasons are mentioned for the origin of this tradition. The first reason is that the color pattern of th…
VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery
Space missions generate massive volumes of high-resolution orbital and surface imagery that far exceed the capacity for manual inspection. Detecting rare phenomena is scientifically critical, yet traditional supervised l…
Anomaly DetectionPrincipal Component Analysis for Lunar Crater Detection
Optical navigation is a critical component for lunar orbiter and lander missions. Image-based crater identification has emerged as a promising technology for optical navigation due to the abundance of craters on the luna…