CNN-based large area pixel-resolution topography retrieval from single-view LROC NAC images constrained with SLDEM
The production of high-resolution digital terrain models (DTMs) based on images is often
hampered by the lack of appropriate stereo observations. Here, we propose a deep learning …
hampered by the lack of appropriate stereo observations. Here, we propose a deep learning …
MADNet 2.0: Pixel-scale topography retrieval from single-view orbital imagery of Mars using deep learning
The High-Resolution Imaging Science Experiment (HiRISE) onboard the Mars
Reconnaissance Orbiter provides remotely sensed imagery at the highest spatial resolution …
Reconnaissance Orbiter provides remotely sensed imagery at the highest spatial resolution …
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 …
Neural implicit shape modeling for small planetary bodies from multi-view images using a mask-based classification sampling strategy
Shape modeling is an indispensable task for spacecraft exploration of small planetary
bodies. Traditional image-based techniques, such as stereo-photogrammetry or structure …
bodies. Traditional image-based techniques, such as stereo-photogrammetry or structure …
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 …
Prospects for mapping temporal height variations of the seasonal CO2 snow/ice caps at the Martian poles by co-registration of MOLA Profiles
We investigate the feasibility and demonstrate the merits of using Mars Orbiter Laser
Altimeter (MOLA) profiles to retrieve seasonal height variations of CO 2 snow/ice cap in …
Altimeter (MOLA) profiles to retrieve seasonal height variations of CO 2 snow/ice cap in …
CaSSIS-based stereo products for Mars after three years in orbit
Abstract The Colour and Stereo Surface Imaging System (CaSSIS) on board the ExoMars
Trace Gas Orbiter (TGO), operating in push-frame mode, provides multiband images at four …
Trace Gas Orbiter (TGO), operating in push-frame mode, provides multiband images at four …
FPattNet: A Multi-Scale Feature Fusion Network with Occlusion Awareness for Depth Estimation of Light Field Images
M Xiao, C Lv, X Liu - Sensors, 2023 - mdpi.com
A light field camera can capture light information from various directions within a scene,
allowing for the reconstruction of the scene. The light field image inherently contains the …
allowing for the reconstruction of the scene. The light field image inherently contains the …
Large area high-resolution 3D mapping of Oxia Planum: The landing site for the ExoMars Rosalind Franklin rover
We demonstrate an end-to-end application of the in-house deep learning-based surface
modelling system, called MADNet, to produce three large area 3D mapping products from …
modelling system, called MADNet, to produce three large area 3D mapping products from …
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 …