A5038970060- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Robotics and Sensor-Based Localization
- Image and Object Detection Techniques
- Optical measurement and interference techniques
- Remote Sensing in Agriculture
- 3D Modeling in Geospatial Applications
- Underwater Vehicles and Communication Systems
- Water Quality Monitoring Technologies
- Satellite Image Processing and Photogrammetry
- Advanced Measurement and Metrology Techniques
- Archaeological Research and Protection
- Species Distribution and Climate Change
- Geophysics and Gravity Measurements
- 3D Shape Modeling and Analysis
- Forest ecology and management
- Astronomical Observations and Instrumentation
- Advancements in PLL and VCO Technologies
- Underwater Acoustics Research
- Advanced Measurement and Detection Methods
- Automated Road and Building Extraction
- GNSS positioning and interference
- Geodetic Measurements and Engineering Structures
- History of Science and Natural History
- Sensor Technology and Measurement Systems
Curtin University
2013-2024
CRC for Spatial information
2009-2019
Technical University of Munich
2013
University of Victoria
1994-1998
Segmentation is a most important intermediate step in point cloud data processing and understanding. Covariance statistics based local saliency features from Principal Component Analysis (PCA) are frequently used for segmentation. However it well known that PCA sensitive to outliers. Hence segmentation results can be erroneous unreliable. The problems of surface laser scanning investigated this paper. We propose region growing statistically robust algorithm uses recently introduced fast...
This paper investigates the problems of outliers and/or noise in surface segmentation and proposes a statistically robust algorithm for laser scanning 3-D point cloud data. Principal component analysis (PCA)-based local saliency features, e.g., normal curvature, have been frequently used many ways segmentation. However, PCA is sensitive to outliers; features from are nonrobust inaccurate presence consequently, results can be erroneous unreliable. As remedy, techniques, RANdom SAmple...
Recording techniques such as laser scanning, photogrammetry and photographic reconstruction are not new to archaeology. However technology evolves becomes more readily available methods being regularly employed within a cultural heritage management context, often by people with little experience in using these technologies for applications. For most practitioners, the awe lure of ease which it can bring archaeology life distract from end game managing site on ground. This paper examines...
Monitoring is a crucial component of ecological recovery projects, yet it can be challenging to achieve at scale and during the formative stages plant establishment. The monitoring seeds seedlings, which represent extremely vulnerable in life cycle, particularly due their diminutive size lack distinctive morphological characteristics. Counting classifying seedlings species level time-consuming difficult, there need for technological approaches offering restoration practitioners with...
This paper introduces robust algorithms for extracting the ground points in laser scanning 3-D point cloud data. Global polynomial functions have been used filtering data; however, it is not suitable as may lead to bias and can cause misclassification errors when many different objects are present. In this paper, statistical approaches coupled with locally weighted 2-D regression that fits without any predefined global function variables of interest. Algorithms performed iteratively on...
The last decade has seen an exponential increase in the application of unmanned aerial vehicles (UAVs) to ecological monitoring research, though with little standardisation or comparability methodological approaches and research aims. We reviewed international peer-reviewed literature order explore potential limitations on feasibility UAV-use restoration, examined how they might be mitigated maximise quality, reliability UAV-generated data. found evidence translational applying UAV-based...
Abstract. While traditionally used for surveying and photogrammetric fields, laser scanning is increasingly being a wider range of more general applications. In addition to the issues typically associated with processing point data, such applications raise number new complications, as complexity scenes scanned, along sheer volume data. Consequently, automated procedures are required processing, analysing This paper introduces method modelling multi-modal, geometrically complex objects in...
Abstract. With recent advancements in UAV based technology the use of airborne photogrammetry and LiDAR poses a new effective approach for continuous, fast efficient beach monitoring surveys. This paper aims to compare three platforms (a DJI Phantom Pro 4 using Ground Control Points, Matrice 200 with built PPK allowing direct georeferencing 600 Riegl Mini-VUX system) order assess if they enable surveys be performed efficiently, accurately cost- effectively. A series were over period 6 months...
Abstract. This paper investigates the problem of local surface reconstruction and best fitting for planar surfaces from unorganized 3D point cloud data. Least Squares (LS), its equivalent Principal Component Analysis (PCA) RANSAC are three most popular techniques to LS PCA sensitive outliers do not give reliable robust parameter estimation. The algorithm is but it completely free effect slow large datasets. In this paper, we propose a diagnostic-robust statistical that uses both diagnostics...
We present a novel closed-form expression of positional uncertainty measured by near-monostatic and time-of-flight laser range finder with consideration its measurement uncertainties. An explicit form the angular variance estimated surface normal vector is also derived. This useful for precise estimation outlier detection finding correspondence in order to register multiple three-dimensional point clouds. Two practical algorithms using these expressions are presented: method optimal local...
Abstract An automatic method for the regularisation of building outlines is presented, utilising a combination data‐ and model‐driven approaches to provide robust solution. The core part includes novel data‐driven approach generate approximate polygons from list given boundary points. algorithm iteratively calculates stores likelihood values between an arbitrary starting point each following points using function derived geometrical properties building. As preprocessing step, segments have...
The increasing spatial and temporal scales of ecological recovery projects demand more rapid accurate methods predicting restoration trajectory. Unmanned aerial vehicles (UAVs) offer greatly improved rapidity efficiency compared to traditional biodiversity monitoring surveys are increasingly employed in the restoration. However, applicability UAV-based remote sensing identification small features interest from captured imagery (e.g., individual plants, <100 cm2) remains untested potential...
Abstract Globally, coral reefs are under threat, with many exhibiting degradation or a shift towards algal-dominated regimes following marine heat waves, and other disturbance events. Marginal existing naturally extreme conditions, such as turbid water reefs, may be more resilient than their clear counterparts well offer some insight into how could look in the future climate change. Here, we surveyed 27 benthic habitats across an environmental stress gradient Exmouth Gulf region of north...
Abstract. At the end of first quarter 2012, more than 600 Velodyne LiDAR systems had been sold worldwide for various robotic and high-accuracy survey applications. The ultra-compact HDL-32E has become a predominant sensor many applications that require lower size/weight cost. For high accuracy applications, cost-effective calibration methods with minimal manual intervention are always desired by users. However, calibrations complicated LiDAR's narrow vertical field view very highly...
Abstract. In this work, a new filtering approach is proposed for fully automatic Digital Terrain Model (DTM) extraction from very high resolution airborne images derived Surface Models (DSMs). Our represents an enhancement of the existing DTM algorithm Multi-directional and Slope Dependent (MSD) by proposing parameters that are more reliable selection ground pixels pixelwise classification. To achieve this, four main steps implemented: Firstly, 8 well-distributed scanlines used to search...
Abstract Registration is an essential procedure for merging point clouds defined in different coordinate systems associated to scanner positions and orientations. It usually the first step before are further processed provide spatial information of a scene support engineering applications. In this paper, new automatic registration method based on novel geometric model polygonal object presented. Since cross section shaft many lamp poles octagonal, octagonal pyramid proposed. The presented...
Because of the perturbation caused by a recent climatic warming, most borehole temperature‐depth profiles in Canada show reduced or negative gradients at shallow depths. However, onset time and magnitude warming are different eastern western (British Columbia southern Yukon) Canada. We determined average subsurface temperature perturbations associated with from data for 34 51, respectively, well distributed sites these two regions If ground surface is assumed to have increased linearly since...