Cultural Heritage (CH) is recognised as being of historical, social, and anthropological value considered an enabler sustainable development. As a result, it included in the United Nations’ Sustainable Development Goals (SDGs) 11 8. SDG 11.4 emphasises protection safeguarding heritage, 8.9 aims to promote tourism that creates jobs promotes local culture products. This paper briefly reviews geoinformatics technologies photogrammetry, remote sensing, spatial information science their...

An essential prerequisite for unleashing the potential of supervised deep learning algorithms in area 3D scene understanding is availability large-scale and richly annotated datasets. However, publicly available datasets are either relative small spatial scales or have limited semantic annotations due to expensive cost data acquisition annotation, which severely limits development fine-grained context point clouds. In this paper, we present an urban-scale photogrammetric cloud dataset with...

Vehicle speed is a key variable for the calibration, validation, and improvement of traffic emission air quality models. Lidar technologies have significant potential in vehicle tracking by scanning surroundings 3-D frequently, hence can be used as flow monitoring sensors accurate counting estimation. However, characteristics lidar-based estimation, such attainable accuracy, remain open questions. This research therefore proposes framework from roadside lidar to detect track vehicles with...

Three-dimensional (3-D) modeling of indoor environment plays an important role in various applications such as navigation, Building Information Modeling (BIM), interactive visualization, etc. While automated reconstruction 3-D models from point clouds is receiving more and attention. Indoor remains a challenging task terms dealing with the complexity environment, level automation restrictions input data. To address these issues, automatic method that quickly effectively reconstructs...

Airborne lidar has been widely used for forest characterization to facilitate ecological and management studies. With the availability of increasingly higher point density, individual tree delineation (ITD) from airborne clouds become a popular yet challenging topic, due complexity diversity forests. One important step ITD is segmentation, which various methodologies have studied. Among them, long proven image segmentation method, mean shift, applied directly onto 3D points, shown promising...

Electric power transmission and maintenance is essential for the industry. This paper proposes a method efficient extraction classification of three-dimensional (3D) targets electric facilities based on regularized grid characteristics computed from point cloud data acquired by unmanned aerial vehicles (UAVs). First, spatial hashing matrix was constructed to store after noise removal statistical method, which calculated local distribution points within each sparse grid. Secondly, lines were...

Despite being of paramount importance to humanity, tangible cultural heritage is often at risk from natural and anthropogenic threats worldwide. As a result, discovery conservation remain huge challenge for both developed developing countries, with sites inadequately cared for, be it due lack resources, nonrecognition the value by local people or authorities, human conflict, some other reason. This paper presents an online geo-crowdsourcing system, termed Share Our Cultural Heritage (SOCH),...

Light detection and ranging (lidar) provides a promising way of detecting changes trees in three-dimensional (3-D) because laser beams can penetrate through the foliage therefore provide full coverage trees. The aim is to detect urban areas using multitemporal airborne lidar point clouds. Three datasets covering part Rotterdam, Netherlands, have been classified into several classes including A connected components algorithm applied first cluster tree points. However, closely located...

Abstract Regional ozone (O 3 ) pollution has currently become an urgent air problem in China. Nitrogen oxides (NO X are key precursor pollutants for O formation. However, control policies have generally neglected or simplified the impacts of soil NO emissions rural regions. This study aims to evaluate effect on agricultural areas China based high‐resolution emission inventory and WRF‐Chem quality model. We first validate simulation result concentration with surface observations over using...

Abstract. Thanks to the development of Mobile mapping systems (MMS), street object recognition, classification, modelling and related studies have become hot topics recently. There has been increasing interest in detecting changes between mobile laser scanning (MLS) point clouds complex urban areas. A method based on consistency occupancies space computed from different datasets is proposed. First occupancy scan rays (empty, occupied, unknown) are defined while considering accuracy...

Abstract. Traffic flow analysis is fundamental for urban planning and management of road traffic infrastructure. Automatic number plate recognition (ANPR) systems are conventional methods vehicle detection travel times estimation. However, such specifically focused on car plates, providing a limited extent users. The advance open-source deep learning convolutional neural networks (CNN) in combination with freely-available closed-circuit television (CCTV) datasets have offered the...

Abstract. The study evaluates five existing segmentation algorithms to determine the method most suitable for individual tree detection across a species-diverse forest: raster-based region growing, local maxima centroidal Voronoi tessellation, point-cloud level marker controlled watershed and continuously adaptive mean shift. Each of methods has been tested twice over one mixed single species plots: with their parameters set as constant calibrated every plot. Overall, continuous shift...

Ice doline is a particular kind of ice morphology, usually scattered on streams which are mostly far from the existing research bases. For this reason, glaciologists rarely have opportunities to document its developments in detail. Satellite observations too coarse capture such fine features, whereas unmanned aerial vehicle (UAV)-based structure-from-motion (SfM) and light detection ranging (LiDAR) technologies revolutionized geosciences research, especially less accessed polar regions. We...

With the development of airborne light detection and ranging (LiDAR) technology, it has become a common efficient way to collect large-scale 3D spatial information. However, automatic semantic segmentation LiDAR data, in form point clouds, remains persistent challenge. To address this, dual attention neural network (DA-Net) is proposed, consisting two different blocks, namely augmented edge representation (AER) elevation attentive pooling (EAP). First, AER can adaptively represent local...

Abstract. Cultural heritage structural documentation is of great importance in terms historical preservation, tourism, educational and spiritual values. across the world, Nepal particular, at risk from various natural hazards (e.g. earthquakes, flooding, rainfall etc), poor maintenance even human destruction. This paper evaluates feasibility low-cost photogrammetric modelling cultural sites, explores practicality using photogrammetry Nepal. The full pipeline 3D for conservation, including...

Pediatric teeth exhibit significant changes in type and spatial distribution across different age groups. This variation makes pediatric segmentation from cone-beam computed tomography (CBCT) more challenging than that adult teeth. Existing methods mainly focus on segmentation, which however cannot be adapted to of with individual (SDPTIC) children, resulting limited accuracy for segmenting Therefore, we introduce a novel topology structure-guided graph convolutional network (TSG-GCN)...

High-resolution traffic data, comprising trajectories of individual road users, are great importance to the development Intelligent Transportation Systems (ITS), in which they can be used for microsimulations and applications such as connected vehicles. Roadside laser scanning systems increasingly being tracking on-road objects, tracking-by-detection is widely acknowledged method; however, this method sensitive misdetections, resulting shortened discontinuous object trajectories. To address...

Abstract. This paper presents a full pipeline to extract mobile objects in images based on simultaneous laser acquisition with Velodyne scanner. The point cloud is first analysed 3D. done using Dempster-Shafer theory and it results weights telling for each points if corresponds object, fixed object or no decision can be made the data (unknown). These are projected an image acquired simultaneously used segment between static part of scene.