A5004856767- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Robotics and Sensor-Based Localization
- Geophysics and Gravity Measurements
- Statistical and numerical algorithms
- Inertial Sensor and Navigation
- Electrodeposition and Electroless Coatings
- Ionosphere and magnetosphere dynamics
- Satellite Image Processing and Photogrammetry
- GNSS positioning and interference
- Advanced Image and Video Retrieval Techniques
- Optical measurement and interference techniques
- Corrosion Behavior and Inhibition
- Advanced Measurement and Detection Methods
- Machine Learning and ELM
- Conducting polymers and applications
- Occupational Health and Safety Research
- Advanced Vision and Imaging
- Electrochemical Analysis and Applications
- Advanced Measurement and Metrology Techniques
- Optical Systems and Laser Technology
- Remote-Sensing Image Classification
- Advanced Chemical Sensor Technologies
- Infrastructure Maintenance and Monitoring
- Astronomical Observations and Instrumentation
Chongqing University
2012-2022
Wuhan University
2012
Rigid transformation including rotation and translation can be elegantly represented by a unit dual quaternion. Thus, non-differential model of the Helmert (3D seven-parameter similarity transformation) is established based on This paper presents rigid iterative algorithm using One small angle (actual case) one big (simulative are studied. The investigation indicates presented quaternion (QDA) has an excellent or fast convergence property. If accurate initial value scale provided, e.g.,...
High-precision coordinate transformation is vital for high-quality data fusion involving different systems. The precision mainly evaluated by the parameters’ estimation precision, root mean square error (RMSE) of conversion common points, or RMSE check points. However, there are a number issues associated with rotation estimated existing methods. First, related to matrix, so it not suitable scenarios where matrices used. Second, points may be consistent that should used as index. In...
Focusing on the global integrity monitoring performance of BDS-3, failure model and effect analysis (IFMEA) system space segment ground control were carried out, risk tree was established according to IFMEA results. To evaluate system’s probability more reasonably, this paper establishes an abnormal event prediction with a Bayesian method, based actual operation data, under situation in which BDS-3 just opened service. With statistical results anomalies since 27 December 2018—which is date...
Abstract Considering that a unit dual quaternion can describe elegantly the rigid transformation including rotation and translation, point-wise weighted 3D coordinate using is formulated. The constructed model by does not need differential process to eliminate three translation parameters, while traditional models do. Based on Lagrangian extremum law, analytical algorithm (ADQA) of proved existed derived in detail. Four numerical cases, geodetic datum transformation, registration LIDAR point...
The precision of target-based registration is related to the geometry distribution targets, while current method setting targets mainly depends on experience, and impact only evaluated qualitatively by findings from empirical experiments through simulations. In this paper, we propose a new quantitative evaluation model, which comprised rotation dilution (, assessing targets' parameters) translation parameters). Here, definitions derivation relevant formulas are given, experience conclusions...
The common feature matching algorithms for street view images are sensitive to the illumination changes in augmented reality (AR), this may cause low accuracy of between images. This paper proposes a novel insensitive descriptor by integrating center-symmetric local binary pattern (CS-LBP) into description framework. proposed can be used improve performance eight commonly feature-matching algorithms, e.g., SIFT, SURF, DAISY, BRISK, ORB, FREAK, KAZE, and AKAZE. We perform experiments on five...
Precise and rapid extraction of spherical target features from laser point clouds is critical for achieving high-precision registration multiple clouds. Existing methods often use linear models to represent characteristics, which have several drawbacks. This paper proposes a rigorous estimation algorithm based on least squares configurations, in the point-cloud data error used as random parameter, while center coordinates radius are nonrandom parameters, emphasizing correlation between...
The site displacement due to diurnal and semidiurnal atmospheric tides (S1/S2) is often neglected in the routine precise GPS data processing. We recall S1/S2 modeling method show magnitude of under Center Mass (CM) frame. results that annual amplitudes caused by both S1 S2 exceed 1 mm for stations near equator. impact on 24-h Global Positioning System (GPS) solution typically at sub-mm level, scatter difference increases with decreasing latitude northern hemisphere stations, among which...
Scene classification is a hot research topic in the geoscience and remote sensing (RS) community. Currently, investigations conducted RS domain mainly use single source data (e.g. multispectral imagery (MSI), hyperspectral (HSI), or light detection ranging (LiDAR), etc.). However, one of aforementioned merely provides certain perspective complex scenes while multisource fusion can provide complementary robust knowledge about objects interest. We aim at fusing spectral– spatial information...
Abstract. Terrestrial laser scanning technology has been applied more and widely in the field of Surveying mapping. Although requirements accuracy for different scanner survey may differ considerably, spatial resolution is an important aspect, which can be divided into range angular components. The latter a focus this paper governed primarily by interval, beam width angle quantisation. An ultimate goal research to derive relationship simplified formula between interval quantisation when...
Abstract. Aimed at the global registration problem of single-closed ring multi-stations point cloud, a formula in order to calculate error rotation matrix was constructed according definition error. The algorithm multi-station cloud derived minimize matrix. And fast-computing formulas transformation with whose implementation steps and simulation experiment scheme given. Compared three different processing schemes experimental results showed that effectiveness new method verified, it could...