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[HTML][HTML] Squeezing data from a rock: Machine learning for Martian science
Data analysis methods have scarcely kept pace with the rapid increase in Earth
observations, spurring the development of novel algorithms, storage methods, and …
observations, spurring the development of novel algorithms, storage methods, and …
[HTML][HTML] FPattNet: A multi-scale feature fusion network with occlusion awareness for depth estimation of light field images
M ** of the Von Kármán crater: Landing site for the Chang'E-4 lander and Yutu-2 rover
Y Tao, JP Muller, SJ Conway, S ** of Mars
High-resolution topographic map** is essential for scientific investigations and
operational exploration of planets, such as Mars. Photoclinometry, which uses light scattered …
operational exploration of planets, such as Mars. Photoclinometry, which uses light scattered …
[HTML][HTML] An adversarial generative network designed for high-resolution monocular depth estimation from 2d hirise images of mars
In computer vision, stereoscopy allows the three-dimensional reconstruction of a scene
using two 2D images taken from two slightly different points of view, to extract spatial …
using two 2D images taken from two slightly different points of view, to extract spatial …
A High‐Resolution Digital Terrain Model Mosaic of the Mars 2020 Perseverance Rover Landing Site at Jezero Crater
We demonstrate the capabilities of a published MADNet monocular height estimation
network in producing a refined digital terrain model (DTM) mosaic at 50 cm/pixel resolution …
network in producing a refined digital terrain model (DTM) mosaic at 50 cm/pixel resolution …
ELunarDTMNet: Efficient reconstruction of high-resolution lunar DTM from single-view orbiter images
H Chen, P Gläser, X Hu, K Willner… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
High-resolution digital terrain models (DTMs) are critical for supporting planetary exploration
missions and advancing scientific research. Recently, deep learning (DL) techniques have …
missions and advancing scientific research. Recently, deep learning (DL) techniques have …
Combination of MRO SHARAD and deep-learning-based DTM to search for subsurface features in Oxia Planum, Mars
Context. Oxia Planum is a mid-latitude region on Mars that attracts a great amount of interest
worldwide. An orbiting radar provides an effective way to probe the Martian subsurface and …
worldwide. An orbiting radar provides an effective way to probe the Martian subsurface and …