Zhaojin Li

Crater Graph-Assisted Bundle Adjustment for Precision Topographic Mapping of Mars

Haonan Zhong, Zhaojin Li, B. Wu

Abstract. Mars topographic data are crucial for quantitative surface characterization, exploration missions, and studies of Martian surface processes. Photogrammetric processing of Mars orbital imagery is a majormethod for generating three-dimensional (3D) terrain models, such as digital elevation models (DEMs), with bundle adjustment …

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Evaluating 3D Scene Representations for Aerial Photogrammetry across Diverse Cityscapes

Shihan Chen, Zhaojin Li, Qingsong Yan, Haibing Liu et autres

Abstract. The proliferation of continuous Neural Radiance Field (NeRF) and 3D Gaussian Splatting (3DGS) has shifted the paradigm of 3D aerial reconstruction from relying solely on geometric stereo matching to inverse rendering optimization. However, while these emerging rendering-based frameworks excel in synthesizing …

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Mud volcanism and episodic outflow events explain pitted cones in Chryse and Acidalia Planitia, Mars

Zeyu Chen, Bo Wu, S. S. Krasilnikov, Long Chen et autres

Pitted cones are widespread in the northern lowlands of Mars and are thought to result from mud volcanism. This study focuses on the pitted cones in Chryse and Acidalia Planitia. A deep learning model was used to classify pitted cones into three …

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Integrated photogrammetry and photoclinometry for enhanced 3D surface reconstruction of asteroids

Hui Li, Bo Wu, Zhaojin Li, Long Chen et autres

Stereo photogrammetry (SPG) and stereo photoclinometry (SPC) are the main techniques used in the 3D surface reconstruction of asteroids. The SPG approach retrieves accurate 3D geometry with limited spatial resolution, while SPC extracts fine-scale topography from image intensity but suffers from uncertainties …

Integrated photogrammetry and photoclinometry for enhanced 3D surface reconstruction of asteroids

Hongliang Li, Bo Wu, Zhaojin Li, Long Chen et autres

Stereo photogrammetry (SPG) and stereo photoclinometry (SPC) are the main techniques used in the 3D surface reconstruction of asteroids. The SPG approach retrieves accurate 3D geometry with limited spatial resolution, while SPC extracts fine-scale topography from image intensity but suffers from uncertainties …

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AMLA-YOLO: Adaptive Multi-dimensional Lightweight Attention for Aerial Small Object Detection

Zhaojin Li, Long Liu, Zengquan Yang, Jun Ma

Embedded unmanned aerial vehicles (UAVs) equipped with visual capabilities have become indispensable devices in numerous application domains, including traffic monitoring and urban management. Current methods for UAV-based aerial image detection have partially eased the task of small object detection; however, further advancements …

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Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing

Xubo Luo, Zhaojin Li, Xue Wan, Wei Zhang et autres

Accurate and real-time 6-DoF localization is mission-critical for autonomous lunar landing, yet existing approaches remain limited: visual odometry (VO) drifts unboundedly, while map-based absolute localization fails in texture-sparse or low-light terrain. We introduce KANLoc, a monocular localization framework that tightly couples VO …

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Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing

Xubo Luo, Zhaojin Li, Xue Wan, Wei Zhang et autres

Accurate and real-time 6-DoF localization is mission-critical for autonomous lunar landing, yet existing approaches remain limited: visual odometry (VO) drifts unboundedly, while map-based absolute localization fails in texture-sparse or low-light terrain. We introduce KANLoc, a monocular localization framework that tightly couples VO …

Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing

Xubo Luo, Zhaojin Li, Xue Wan, Wei Zhang et autres

Accurate and real-time 6-DoF localization is mission-critical for autonomous lunar landing, yet existing approaches remain limited: visual odometry (VO) drifts unboundedly, while map-based absolute localization fails in texture-sparse or low-light terrain. We introduce KANLoc, a monocular localization framework that tightly couples VO …

3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene

Shihan Chen, Zhaojin Li, Zeyu Chen, Qingsong Yan et autres

Recent developments in 3D Gaussian Splatting have made significant advances in surface reconstruction. However, scaling these methods to large-scale scenes remains challenging due to high computational demands and the complex dynamic appearances typical of outdoor environments. These challenges hinder the application in …

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3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene

Shihan Chen, Zhaojin Li, Zeyu Chen, Qingsong Yan et autres

Recent developments in 3D Gaussian Splatting have made significant advances in surface reconstruction. However, scaling these methods to large-scale scenes remains challenging due to high computational demands and the complex dynamic appearances typical of outdoor environments. These challenges hinder the application in …

DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images

Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

Abstract The Martian surface, with its diverse landforms that reflect the planet's evolution, has attracted increasing scientific interest. While extensive data is needed for interpretation, identifying landform types is crucial. This semantic information reveals underlying features and patterns, offering valuable scientific insights. …

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