Rong Huang
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View article: Prior information guided cost optimization for terrain generation from high-resolution orbiter imagery of lunar south pole
Prior information guided cost optimization for terrain generation from high-resolution orbiter imagery of lunar south pole Open
Precise reconstruction of lunar south pole’s terrain is crucial for future exploration missions, particularly for landing site selection, resource identification, and scientific research. However, the challenging illumination conditions, c…
View article: Mid-low latitude LOLA terrain maps of the Chang’e-6 sampling area through batch self-constrained adjustment and fusion with the SLDEM
Mid-low latitude LOLA terrain maps of the Chang’e-6 sampling area through batch self-constrained adjustment and fusion with the SLDEM Open
The Lunar Orbiter Laser Altimeter (LOLA) is currently the most precise spaceborne laser altimeter in lunar exploration. The digital elevation model (DEM) generated from the laser points obtained by LOLA is also the highest-precision global…
View article: Editorial for Special Issue: Sino-German P&RS Cooperation: Applications, Methods, Reviews
Editorial for Special Issue: Sino-German P&RS Cooperation: Applications, Methods, Reviews Open
View article: Neural Implicit Monocular Visual SLAM for 3D Reconstruction in Planetary Environments
Neural Implicit Monocular Visual SLAM for 3D Reconstruction in Planetary Environments Open
The application of SLAM technology in planetary environments has become a research frontier for autonomous rovers. Existing visual SLAM methods often exhibit low accuracy in pose estimation and reconstruction due to poor feature extraction…
View article: Adaptive Weighted Multi-image Shape from Shading for Precise Topographic Reconstruction at the Lunar South Pole
Adaptive Weighted Multi-image Shape from Shading for Precise Topographic Reconstruction at the Lunar South Pole Open
The generation and analysis of fine surface topography are critical for landing site selection at the lunar south pole. The Shape from Shading (SFS) technique can theoretically reconstruct a pixel-level resolution topographic model. Howeve…
View article: A simple oriented search and clustering method for extracting individual forest trees from ALS point clouds
A simple oriented search and clustering method for extracting individual forest trees from ALS point clouds Open
Accurate extraction of individual trees has theoretical and practical significance for improving forest management and productivity levels. Although airborne laser scanning (ALS) technology is frequently utilized for large-scale forest map…
View article: Occlusion and temporomandibular joint disorders: a meta-analysis of psychosocial outcomes
Occlusion and temporomandibular joint disorders: a meta-analysis of psychosocial outcomes Open
Objectives This meta-analysis aims to evaluate the effects of occlusal therapy, specifically the use of occlusal splints, on psychosocial outcomes in patients with temporomandibular joint disorders (TMDs). While occlusal splints are common…
View article: Spatial Pattern Investigation of Olivine on Mars using OMEGA and MOLA Remote Sensing Data: A Case Study at Valles Marineris and Nili Fossae
Spatial Pattern Investigation of Olivine on Mars using OMEGA and MOLA Remote Sensing Data: A Case Study at Valles Marineris and Nili Fossae Open
Olivine is a mineral indicative of water activity in the mantle, and its presence can elucidate the petrological evolution and history of magmatic igneous rocks. In this work, we conducted a preliminary investigation into the characteristi…
View article: Generative 3D Reconstruction of Martian Surfaces using Monocular Images
Generative 3D Reconstruction of Martian Surfaces using Monocular Images Open
High-resolution digital terrain models (DEM) are crucial for Mars scientific exploration and engineering demands, such as mission route planning, landing site selection, and topography research. However, DEMs generated based on photogramme…
View article: High‐Resolution Morphology of Lunar Lava Tube Pits Using Photogrammetric Modeling of Multiple Stereo Images
High‐Resolution Morphology of Lunar Lava Tube Pits Using Photogrammetric Modeling of Multiple Stereo Images Open
Underground lava tubes are promising candidates for the construction of lunar bases because they are believed to offer good protection against radiation and harsh thermal environments on the lunar surface. Although the extent and structure…
View article: Stability analysis of continuous operating reference stations on Vancouver Island with a permanent GPS deformation array based on GAMIT/GLOBK
Stability analysis of continuous operating reference stations on Vancouver Island with a permanent GPS deformation array based on GAMIT/GLOBK Open
Continuous operating reference station (CORS) networks, underpinned by GNSS technology, support various technological services including comprehensive surveying, navigation, and remote sensing. The stability of these CORS networks is cruci…
View article: A rational delineation method for active land blocks on the southeastern margin of the Tibetan Plateau based on high-precision GNSS horizontal velocity fields
A rational delineation method for active land blocks on the southeastern margin of the Tibetan Plateau based on high-precision GNSS horizontal velocity fields Open
As one of the most geologically active regions on Earth, accurate delineation of active land blocks and analysis of crustal deformation characteristics in the southeastern margin of the Tibetan Plateau are crucial for understanding regiona…
View article: Food selection and effect of home preparation procedure for antibiotic food mixtures on homogeneity, stability, and dissolution
Food selection and effect of home preparation procedure for antibiotic food mixtures on homogeneity, stability, and dissolution Open
View article: A Mismatch Removal Method Based on Global Constraint and Local Geometry Preservation for Lunar Orbiter Images
A Mismatch Removal Method Based on Global Constraint and Local Geometry Preservation for Lunar Orbiter Images Open
Mismatch removal is a crucial step in multiview matching of lunar orbiter images. This process involves complex challenges like terrain-induced distortion and nonunique geometric structures due to repetitive textures. Traditional methods, …
View article: A Simple Framework of Few-Shot Learning Using Sparse Annotations for Semantic Segmentation of 3-D Point Clouds
A Simple Framework of Few-Shot Learning Using Sparse Annotations for Semantic Segmentation of 3-D Point Clouds Open
The semantic segmentation of point clouds plays a crucial role in the interpretation of 3-D scene. However, the majority of supervised learning methods needs a great number of annotated data to train an effective model, which requires labo…
View article: Fast Double-Channel Aggregated Feature Transform for Matching Planetary Remote Sensing Images
Fast Double-Channel Aggregated Feature Transform for Matching Planetary Remote Sensing Images Open
Matching planetary remote sensing images (PRSI) is essential for deep space exploration. Through matching optical images collected by different probes, the terrain of planets can be accurately mapped; however, PRSI lacks surface texture in…
View article: Large-Scale Block Bundle Adjustment of LROC NAC Images for Lunar South Pole Mapping Based on Topographic Constraint
Large-Scale Block Bundle Adjustment of LROC NAC Images for Lunar South Pole Mapping Based on Topographic Constraint Open
With the increasing interest in the south polar region of the Moon, there is an urgent need for high-resolution mapping products to support future exploration. Bundle block adjustment (BBA) is able to improve the spatial positioning accura…
View article: 3D POINT CLOUD COMPLETION USING TERRAIN-CONTINUOUS CONSTRAINTS AND DISTANCE-WEIGHTED INTERPOLATION FOR LUNAR TOPOGRAPHIC MAPPING
3D POINT CLOUD COMPLETION USING TERRAIN-CONTINUOUS CONSTRAINTS AND DISTANCE-WEIGHTED INTERPOLATION FOR LUNAR TOPOGRAPHIC MAPPING Open
Stereo vision has been proven to be an efficient tool for 3D reconstruction in lunar topographic mapping. However, point clouds reconstructed from pairs of stereo images always suffer from occlusions and illumination changes, especially in…
View article: Tactile Sensing for Soft Robotic Manipulators in 50 MPa Hydrostatic Pressure Environments
Tactile Sensing for Soft Robotic Manipulators in 50 MPa Hydrostatic Pressure Environments Open
Deep‐sea exploration remains a challenging task as the extreme hydrostatic pressure environment, darkness, and suspended sediment launch severely hinder the capability of deep‐sea vehicles. As a complement to underwater camera, tactile per…
View article: Advanced mathematical analysis to optimize image processing for pore size assessment of knitted fabrics
Advanced mathematical analysis to optimize image processing for pore size assessment of knitted fabrics Open
Pore size is one of the significant factors influencing fabric performance, such as comfort and protection. The reliable measurement of pore size is fundamental to studying fabric structure and performance. Image processing is the popular …
View article: Enhanced Cd(Ii) Biomineralization by High-Surface-Phosphate Beared Microalgae in Soil
Enhanced Cd(Ii) Biomineralization by High-Surface-Phosphate Beared Microalgae in Soil Open
View article: Pairwise Point Cloud Registration Using Graph Matching and Rotation-Invariant Features
Pairwise Point Cloud Registration Using Graph Matching and Rotation-Invariant Features Open
Registration is a fundamental but critical task in point cloud processing, which usually depends on finding element correspondence from two point clouds. However, the finding of reliable correspondence relies on establishing a robust and d…
View article: Assessment of Sensitivity to Evaluate the Impact of Operating Parameters on Stability and Performance in Proton Exchange Membrane Fuel Cells
Assessment of Sensitivity to Evaluate the Impact of Operating Parameters on Stability and Performance in Proton Exchange Membrane Fuel Cells Open
As a highly nonlinear system, the performance of proton exchange membrane fuel cell (PEMFC) is controlled by various parameters. If the effects of all parameters are considered during the performance optimization, low working efficiency an…
View article: GraNet: Global Relation-aware Attentional Network for ALS Point Cloud Classification
GraNet: Global Relation-aware Attentional Network for ALS Point Cloud Classification Open
In this work, we propose a novel neural network focusing on semantic labeling of ALS point clouds, which investigates the importance of long-range spatial and channel-wise relations and is termed as global relation-aware attentional networ…
View article: Robust global registration of point clouds by closed-form solution in the frequency domain
Robust global registration of point clouds by closed-form solution in the frequency domain Open
View article: EFFICIENT ESTIMATION OF 3D SHIFTS BETWEEN POINT CLOUDS USING LOW-FREQUENCY COMPONENTS OF PHASE CORRELATION
EFFICIENT ESTIMATION OF 3D SHIFTS BETWEEN POINT CLOUDS USING LOW-FREQUENCY COMPONENTS OF PHASE CORRELATION Open
Registration of multiple point clouds acquired via terrestrial laser scanning (TLS) is usually compulsory to obtain the scanned data covering a whole urban scene. However, the automated processing of aligning multiple scans is still a conc…
View article: RIDF: A ROBUST ROTATION-INVARIANT DESCRIPTOR FOR 3D POINT CLOUD REGISTRATION IN THE FREQUENCY DOMAIN
RIDF: A ROBUST ROTATION-INVARIANT DESCRIPTOR FOR 3D POINT CLOUD REGISTRATION IN THE FREQUENCY DOMAIN Open
Registration of point clouds is a fundamental problem in the community of photogrammetry and 3D computer vision. Generally, point cloud registration consists of two steps: the search of correspondences and the estimation of transformation …
View article: LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas
LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas Open
The semantic labeling of the urban area is an essential but challenging task for a wide variety of applications such as mapping, navigation, and monitoring. The rapid advance in Light Detection and Ranging (LiDAR) systems provides this tas…
View article: TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas
TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas Open
In the past decade, a vast amount of strategies, methods, and algorithms have been developed to explore the semantic interpretation of 3D point clouds for extracting desirable information. To assess the performance of the developed algorit…
View article: Research on Gait Detection Algorithm Based on Plantar Pressure
Research on Gait Detection Algorithm Based on Plantar Pressure Open
In order to identify the relationship between dynamic plantar pressure information and hallux valgus, this paper proposes a CNN model to achieve a gait detection method based on plantar pressure. The plantar pressure data during walking co…