Explanipedia

SpaceMind: An MCP-based Agent Architecture Fusing Large and Small Models for On-orbit Servicing Open

Aodi Wu, Hyunho Han, Xubo Luo, Xue Wan · 2025

TMTS: A Physics-Based Turbulence Mitigation Network Guided by Turbulence Signatures for Satellite Video Open

Jie Yin, Tao Sun, Xiao Zhang, Guorong Zhang, Xue Wan , et al. · 2025

Atmospheric turbulence severely degrades high-resolution satellite videos through spatiotemporally coupled distortions, including temporal jitter, spatial-variant blur, deformation, and scintillation, thereby constraining downstream analyt…

TMTS: A Physics-Based Turbulence Mitigation Network Guided by Turbulence Signature for Satellite Video Open

Jie Yin, Tao Sun, Xiao Zhang, Guorong Zhang, Xue Wan , et al. · 2025

Atmospheric turbulence severely degrades high-resolution satellite videos through spatiotemporally coupled distortions, including temporal jitter, spatial-variant blur, deformation, and scintillation, thereby constraining downstream analyt…

Map-Guided Coarse-to-Fine Lunar Rover Localization via Multiview Crater Matching Open

Chenming Ye, Zhizhong Kang, Xue Wan, Shuai Shao, Juntao Yang , et al. · 2025

Deep space investigation has gradually developed from remote sensing to planet surface exploration, and rover survey is the main way for planet surface exploration. Precise localization is essential to ensure the safety of the rover. In th…

A Machine Learning Approach for the Autonomous Identification of Hardness in Extraterrestrial Rocks from Digital Images Open

Liu Shu-yun, Haifeng Zhao, Zihao Yuan, Liping Xiao, Chengcheng Shen , et al. · 2024

Understanding rock hardness on extraterrestrial planets offers valuable insights into planetary geological evolution. Rock hardness correlates with morphological parameters, which can be extracted from navigation images, bypassing the time…

LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous Exploration Open

Jiayi Liu, Qianyu Zhang, Xue Wan, Shengyang Zhang, Yaolin Tian , et al. · 2024

With the complexity of lunar exploration missions, the moon needs to have a higher level of autonomy. Environmental perception and navigation algorithms are the foundation for lunar rovers to achieve autonomous exploration. The development…

JointLoc: A Real-time Visual Localization Framework for Planetary UAVs Based on Joint Relative and Absolute Pose Estimation Open

Xubo Luo, Xue Wan, Yixing Gao, Yaolin Tian, Wei Zhang , et al. · 2024

Unmanned aerial vehicles (UAVs) visual localization in planetary aims to estimate the absolute pose of the UAV in the world coordinate system through satellite maps and images captured by on-board cameras. However, since planetary scenes o…

LO-SLAM: Lunar Object-centric SLAM using Point Prompted SAM for Data Association Open

Yaolin Tian, Xue Wan, Shengyang Zhang, J. X. Zuo, Yadong Shao , et al. · 2024

To ensure long-term space missions, an autonomous visual navigation system for lunar rovers supporting selfexploration is demanded. While the object-centric localization and mapping problem can be solved through state-of-the-art methods, t…

A Machine Learning Approach for Autonomous Identification of Hardness in Extraterrestrial Rocks from Digital Images Open

Liu Shu-yun, Haifeng Zhao, Zihao Yuan, Liping Xiao, Chengcheng Shen , et al. · 2024

Program Committee: ICoSR 2023 Open

D Pham, Ioan Dumitrache, Ryszard S. Choraś, Xue Wan, Haifeng Zhao · 2023

Fine segmentation and stable tracking of spacecraft components Open

Yadong Shao, Yuanbin Shao, Aodi Wu, Xue Wan · 2023

Program Committee Open

Tao Liu, Maki K. Habib, Yong Liu, Gang Chen, D Pham , et al. · 2022

Planetary UAV localization based on Multi-modal Registration with Pre-existing Digital Terrain Model Open

Xue Wan, Yuanbin Shao, Shengyang Li · 2021

The autonomous real-time optical navigation of planetary UAV is of the key technologies to ensure the success of the exploration. In such a GPS denied environment, vision-based localization is an optimal approach. In this paper, we propose…

Robust Feature Matching with Spatial Smoothness Constraints Open

Xu Huang, Xue Wan, Daifeng Peng · 2020

Feature matching is to detect and match corresponding feature points in stereo pairs, which is one of the key techniques in accurate camera orientations. However, several factors limit the feature matching accuracy, e.g., image textures, v…

A Novel Change Detection Method for Natural Disaster Detection and Segmentation from Video Sequence Open

Huijiao Qiao, Xue Wan, Youchuan Wan, Shengyang Li, Wanfeng Zhang · 2020

Change detection (CD) is critical for natural disaster detection, monitoring and evaluation. Video satellites, new types of satellites being launched recently, are able to record the motion change during natural disasters. This raises a ne…

DEEP LEARNING BASED OPTICAL FLOW ESTIMATION FOR CHANGE DETECTION: A CASE STUDY IN INDONESIA EARTHQUAKE Open

Huijiao Qiao, Xue Wan, Jiajun Xu, Songyan Li, Peipei He · 2020

Real-time change detection and analysis of natural disasters is of great importance to emergency response and disaster rescue. Recently, a number of video satellites that can record the whole process of natural disasters have been launched…

Scene classification dataset using the Tiangong-1 hyperspectral remote sensing imagery and its applications Open

Kang LIU, Zhuang Zhou, Shengyang Li, Yunfei Liu, Xue Wan , et al. · 2020

Multispectral image dataset of Tiangong-2 for port cities along the Belt and Road Open

Bangyong Qin, Xue Wan, Shiyu XUAN, Shengyang Li, Kang LIU · 2020

Object Tracking in Satellite Videos by Improved Correlation Filters With Motion Estimations Open

Shiyu Xuan, Shengyang Li, Mingfei Han, Xue Wan, Gui-Song Xia · 2019

As a new method of Earth observation, video satellite is capable of monitoring specific events on the Earth's surface continuously by providing high-temporal resolution remote sensing images. The video observations enable a variety of new …

Saliency based Semi-supervised Learning for Orbiting Satellite Tracking Open

Peizhuo Li, Yunda Sun, Xue Wan · 2019

The trajectory and boundary of an orbiting satellite are fundamental information for on-orbit repairing and manipulation by space robots. This task, however, is challenging owing to the freely and rapidly motion of on-orbiting satellites, …

The Extension of Phase Correlation to Image Perspective Distortions Based on Particle Swarm Optimization Open

Xue Wan, Chenhui Wang, Shengyang Li · 2019

Phase correlation is one of the widely used image registration method in medical image processing and remote sensing. One of the main limitations of the phase correlation-based registration method is that it can only cope with Euclidean tr…

Avian surface reconstruction in free flight with application to flight stability analysis of a barn owl and peregrine falcon Open

Nicholas E. Durston, Xue Wan, Jian Guo Liu, Shane P. Windsor · 2019

Birds primarily create and control the forces necessary for flight through changing the shape and orientation of their wings and tail. Their wing geometry is characterised by complex variation in parameters such as camber, twist, sweep and…

AN AUTONOMOUS GPS-DENIED UNMANNED VEHICLE PLATFORM BASED ON BINOCULAR VISION FOR PLANETARY EXPLORATION Open

Mi Qin, Xue Wan, Yanyan Shao, Songyan Li · 2018

Vision-based navigation has become an attractive solution for autonomous navigation for planetary exploration. This paper presents our work of designing and building an autonomous vision-based GPS-denied unmanned vehicle and developing an …

ILLUMINATION INVARIANT CHANGE DETECTION (IICD): FROM EARTH TO MARS Open

Xue Wan, Jianguo Liu, Minghua Qin, Songyan Li · 2018

Multi-temporal Earth Observation and Mars orbital imagery data with frequent repeat coverage provide great capability for planetary surface change detection. When comparing two images taken at different times of day or in different seasons…

Phase correlation-based illumination-insensitive image matching for terrain-related applications Open

Xue Wan · 2015

The Earth surface is monitored by air-borne and space-borne sensors locally, regionally and globally and at short time intervals. The capability of multi-temporal image matching is essential for many terrain-related applications, such as g…

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