San Jiang

San Jiang
China University of Geosciences · Department of Computer Sciences

Ph.D
Jan 2022 - Present, Postdoctoral Fellowship at The Hong Kong Polytechnic University, Department of LSGI

About

42
Publications
10,473
Reads
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490
Citations
Citations since 2016
38 Research Items
489 Citations
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2016201720182019202020212022020406080100120
Introduction
Received the B.S. degree in remote sensing science and technology from Wuhan University in 2010, and the M.Sc. and Ph.D. degrees in photogrammetry and remote sensing from Wuhan Univeristy in 2012 and 2018, respectively. Currently, he is an associate professor in the School of Computer Science at China University of GeoSciences (Wuhan). My research interests include image matching, Structure from Motion, Multi-View Stereo, and 3D reconstruction.

Publications

Publications (42)
Article
Incremental Structure from Motion (ISfM) has been widely used for UAV image orientation. Its efficiency, however, decreases dramatically due to iterative BA (bundle adjustment). Although the divide-and-conquer strategy has been utilized for efficiency improvement, cluster merging becomes difficult or depends on seriously designed common image poses...
Article
Full-text available
Structure from Motion (SfM) for large-scale UAV (Unmanned Aerial Vehicle) images has been widely used in the fields of photogrammetry and computer vision. Its efficiency, however, decreases dramatically as well as with the memory occupation rising steeply due to the explosion of data volume and the iterative BA (bundle adjustment) optimization. In...
Article
Full-text available
Recently, 3D mapping has begun to play an increasingly important role in photogrammetric applications. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most critical remote sensing data sources because of the high flexibility of UAV platforms and the extensive usage of low-cost cameras. The techniques and applications...
Article
Full-text available
Reliable feature matching plays an important role in the fields of computer vision and photogrammetry. Due to the complex transformation model caused by photometric and geometric deformations, and the limited discriminative power of local feature descriptors, initial matches with high outlier ratios cannot be addressed very well. This study propose...
Preprint
Full-text available
UAVs have become one of the widely used remote sensing platforms and played a critical role in the construction of smart cities. However, due to the complex environment in urban scenes, secure and accurate data acquisition brings great challenges to 3D modeling and scene updating. Optimal trajectory planning of UAVs and accurate data collection of...
Preprint
Full-text available
Incremental Structure from Motion (ISfM) has been widely used for UAV image orientation. Its efficiency, however, decreases dramatically due to the sequential constraint. Although the divide-and-conquer strategy has been utilized for efficiency improvement, cluster merging becomes difficult or depends on seriously designed overlap structures. This...
Preprint
Full-text available
Stereo matching of high-resolution satellite images (HRSI) is still a fundamental but challenging task in the field of photogrammetry and remote sensing. Recently, deep learning (DL) methods, especially convolutional neural networks (CNNs), have demonstrated tremendous potential for stereo matching on public benchmark datasets. However, datasets fo...
Article
Full-text available
Disparity estimation of satellite stereo images is an essential and challenging task in photogrammetry and remote sensing. Recent researches have greatly promoted the development of disparity estimation algorithms by using CNN (Convolutional Neural Networks) based deep learning techniques. However, it is still difficult to handle intractable region...
Article
Full-text available
Structure from Motion (SfM) has been a golden standard technique for UAV image orientation. However, the high combinational complexity of match pairs and the high outlier ratio of initial matches become two major issues in SfM-based image orientation. This paper presents an integrated workflow to achieve simultaneously match pair selection and guid...
Poster
Full-text available
With the development of aerial imaging, oblique photogrammetry, laser scanning techniques, and unmanned aircraft systems (UAVs), accurate and efficient perception, the reconstruction, and recognition of large-scale 3D scenes have become popular topics in the fields of photogrammetry and computer vision. However, there are still several problems tha...
Article
Full-text available
Building height is one of the basic geographic information for planning and analysis in urban construction. It is still very challenging to estimate the accurate height of complex buildings from satellite images, especially for buildings with podium. This paper proposes a solution for building height estimation from GF-7 satellite images by using a...
Poster
Full-text available
3D mapping plays a critical role in a variety of photogrammetric applications. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important sources of remote sensing data due to the high flexibility of UAV platforms and the extensive usage of low-cost cameras. Additionally, the rapid development of recent technique...
Article
Full-text available
As an essential task in remote sensing, disparity estimation of high-resolution stereo images is still confronted with intractable problems due to extremely complex scenes and dynamically changing disparities. Especially in areas containing texture-less regions, repetitive patterns, disparity discontinuities, and occlusions, stereo matching is diff...
Article
Full-text available
3D mapping is an increasingly important feature for recent photogrammetry and remote sensing systems. Nowadays, unmanned aerial vehicles (UAVs) have become one of the extensively used remote sensing platforms due to their high timeliness and flexibility on data acquisition and high spatial resolution of recorded images. UAV-based 3D mapping has ove...
Article
Full-text available
Camera self-calibration determines the precision and robustness of AT (aerial triangulation) for UAV (unmanned aerial vehicle) images. The UAV images collected from long transmission line corridors are critical configurations, which may lead to the “bowl effect” with camera self-calibration. To solve such problems, traditional methods rely on more...
Article
Full-text available
Unmanned aerial vehicle (UAV) images have become the main remote sensing data sources for varying applications, and Structure from Motion (SfM) is the golden standard for resuming camera poses. Matching local feature descriptors is the prerequisite for the accurate and complete orientation of UAV images. Recently, some newly proposed learned method...
Article
Full-text available
Fast reconstruction of power lines and corridors is a critical task in UAV (unmanned aerial vehicle)-based inspection of high-voltage transmission corridors. However, recent dense matching algorithms suffer the problem of low efficiency when processing large-scale high-resolution UAV images. This study proposes an efficient dense matching method fo...
Article
Full-text available
Outlier removal is a crucial step in local feature-based unmanned aerial vehicle (UAV) image matching. Inspired by our previous work, this paper proposes a method for reliable and efficient outlier removal in UAV image matching. The inputs of the method are only two images without any other auxiliary data. The core idea is to design local geometric...
Article
Full-text available
Unmanned aerial vehicle (UAV) images have gained extensive attention in varying fields, and the Structure from Motion (SfM) technique has become the gold standard for aerial triangulation of UAV images. With increasing data volume caused by the use of multi-view and high-resolution imaging systems and the enhancement of UAV platform's endurance, th...
Preprint
Outlier removal is a crucial step in local feature-based image matching. Inspired by our previous work [1], [2], this paper proposes a method for reliable and efficient outlier removal in UAV image matching. The inputs of the method are only two images without any other auxiliary data. The core idea is to design local geometric constraints within t...
Preprint
Unmanned aerial vehicle (UAV) images have gained extensive attention in varying fields, and the Structure from Motion (SfM) technique has become the gold standard for aerial triangulation of UAV images. With increasing data volume caused by the use of multi-view and high-resolution imaging systems and the enhancement of UAV platform’s endurance, th...
Article
Full-text available
Pylons play an important role in the safe operation of power transmission grids. Directly reconstructing pylons from UAV images is still a great challenge due to problems of weak texture, hollow-carved structure, and self-occlusion. This paper presents an automatic model-driven method for pylon reconstruction from oblique UAV images. The pylons are...
Article
Full-text available
The primary contribution of this paper is an efficient match pair selection method for oblique unmanned aerial vehicle (UAV) images. First, high overlap degrees and spatial resolutions cause image and feature redundancies in vocabulary tree building and image indexing. To cope with this issue, an image selection strategy and a feature selection str...
Conference Paper
Full-text available
Regular inspection of transmission line is an essential work to ensure reliable supply and distribution of electric power. Considering that the conventional time consuming and economic inefficient methods can not satisfy new coming demands, an inspection strategy is proposed in this study, which aims to achieve off-site visual inspection instead of...
Article
Full-text available
Image matching is a basic task in the field of photogrammetry and remote sensing. By using the advantages of the Delaunay triangulation, this paper proposes a novel image matching method. First, neighboring structures of randomly distributed feature points are formed with the assistance of the Delaunay triangulation and its corresponding graph, and...
Article
Full-text available
The security of high-voltage power transmission corridors is significantly vital to the national economy and daily life. With its rapid development, LiDAR (Light Detection and Ranging) technology has been widely applied in the inspection of transmission lines. As the basis of potential hazard detection, a robust and precise power line model is a ne...
Article
Full-text available
Accurate orientation is required for the applications of UAV (Unmanned Aerial Vehicle) images. In this study, an integrated Structure from Motion (SfM) solution is proposed, which aims to address three issues to ensure the efficient and reliable orientation of oblique UAV images, including match pair selection for large-volume images with large ove...
Preprint
The primary contribution of this paper is a reliable image matching method based on photometric and geometric constraints achieved by using the advantages of the Delaunay triangulation. First, neighboring structures of randomly distributed feature points are formed with the assistance of the Delaunay triangulation and its corresponding graph, and t...
Code
Reliable Image Matching via Photometric and Geometric Constraints Structured by Delaunay Triangulation - A manual inspection tool to build ground-truth data for feature matching.
Article
Full-text available
This paper proposes a strategy for efficient geometrical verification in unmanned aerial vehicle (UAV) image matching. First, considering the complex transformation model between correspondence set in the image-space, feature points of initial candidate matches are projected onto an elevation plane in the object-space, with assistant of UAV flight...
Preprint
This paper proposes a strategy for efficient geometrical verification in unmanned aerial vehicle (UAV) image matching. First, considering the complex transformation model between correspondence set in the image-space, feature points of initial candidate matches are projected onto an elevation plane in the object-space, with assistant of UAV flight...
Article
Full-text available
Object reconstruction from airborne LiDAR data is a hot topic in photogrammetry and remote sensing. Power fundamental infrastructure monitoring plays a vital role in power transmission safety. This paper proposes a heuristic reconstruction method for power pylons widely used in high voltage transmission systems from airborne LiDAR point cloud, whic...
Article
Full-text available
The primary contribution of this paper is an efficient Structure from Motion (SfM) solution for oblique unmanned aerial vehicle (UAV) images. First, an algorithm, considering spatial relationship constrains between image footprints, is designed for match pair selection with assistant of UAV flight control data and oblique camera mounting angles. Se...
Article
Full-text available
3D semantic labeling is a fundamental task in airborne laser scanning (ALS) point clouds processing. The complexity of observed scenes and the irregularity of point distributions make this task quite challenging. Existing methods rely on a large number of features for the LiDAR points and the interaction of neighboring points, but cannot exploit th...
Article
Full-text available
Feature extraction and matching is a crucial task in the fields of computer vision and photogrammetry. Even though wide researches have been reported, some issues are still existing for oblique images. This paper exploits the use of on-board GNSS/IMU (Global Navigation Satellite System/Inertial Measurement Unit) data to achieve efficient and reliab...
Article
Full-text available
Regular inspection of transmission lines is an essential work, which has been implemented by either labor intensive or very expensive approaches. 3D reconstruction could be an alternative solution to satisfy the need for accurate and low cost inspection. This paper exploits the use of an unmanned aerial vehicle (UAV) for outdoor data acquisition an...
Article
Full-text available
3D reconstruction of transmission route provides important information for inspection. This paper designs and implements a data acquisition equipment and proposes a data acquisition and process workflow for 3d reconstruction of transmision route after detail analysis of requirement of oblique photogrammetry and overlay of transmisson route. The exp...
Conference Paper
The purpose of the airborne LiDAR system calibration is to eliminate the influence of system error and improve the precision of the original point cloud data. In certain hypothesis of flight conditions, the directly positioning model for LiDAR can be reduced to a quasi-rigorous model, and the dependence on the original observation data for the syst...
Article
Full-text available
An automated method of systematic bias self-calibration is presented for airborne LiDAR traditional calibration approaches relied on manual extraction of geometric features which made them lack adaptability for practical data. A novel method is established based on conjugate point features extracted from overlapping LiDAR strips to take the advanta...

Questions

Question (1)
Question
Dear Colleagues,
3D mapping plays a critical role in varying photogrammetric applications. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources due to the high flexibility of UAV platforms and the extensive usage of low-cost cameras. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. Recent years have been witnessing the explosive development of UAV-based photogrammetric 3D mapping techniques and their wide applications from traditional surveying and mapping to other related fields, e.g., automatic driving, structure inspection.
The aim of this special issue focuses on the techniques for UAV-based 3D mapping, especially for trajectory planning for UAV data acquisition in complex environments, recent algorithms for feature matching of aerial-ground images, SfM and SLAM for efficient image orientation, as well as the usage of DL techniques in the 3D mapping pipeline, and the applications of UAV-based 3D mapping, such as crack detection of civil structures, automatic inspection of transmission lines, precision management of crops, and archaeological and cultural heritage, and so on.
Dr. Wanshou Jiang
Dr. San Jiang
Dr. Xiongwu Xiao
Guest Editors

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Projects (4)
Project
Dear Colleagues, 3D mapping plays a critical role in varying photogrammetric applications. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources due to the high flexibility of UAV platforms and the extensive usage of low-cost cameras. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. Recent years have been witnessing the explosive development of UAV-based photogrammetric 3D mapping techniques and their wide applications from traditional surveying and mapping to other related fields, e.g., automatic driving, structure inspection. The aim of this special issue focuses on the techniques for UAV-based 3D mapping, especially for trajectory planning for UAV data acquisition in complex environments, recent algorithms for feature matching of aerial-ground images, SfM and SLAM for efficient image orientation, as well as the usage of DL techniques in the 3D mapping pipeline, and the applications of UAV-based 3D mapping, such as crack detection of civil structures, automatic inspection of transmission lines, precision management of crops, and archaeological and cultural heritage, and so on. Keywords: UAV trajectory planning photogrammetry aerial triangulation dense Image matching 3D mapping structure from Motion simultaneous localization and mapping deep learning https://www.mdpi.com/journal/remotesensing/special_issues/UAV_Image Dr. Wanshou Jiang Dr. San Jiang Dr. Xiongwu Xiao Guest Editors
Project
aim at utilizing and developing new algorithms for dense matching of satellite and aerial images, and generating dense point cloud
Project
Image Interpretation for High Resolution Remote Sensing, including Satellite, Aerial, UAV and street-view images