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Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam
Published 2024-11-01“…Four supervised classification algorithms, including Random Forest (RF), Support Vector Machine (SVM), Naïve Bayes classifier, and Classification and Regression Trees (CART) have been implemented on GEE platform to select the best algorithm to produce spatial-temporal mangrove maps, then change detection of mangroves is performed. …”
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1702
Zero-shot building footprint extraction and regularization based on Segment Anything model with Mesh Model
Published 2025-08-01Get full text
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A generic multi-lidar data batching strategy on the sensor driver level
Published 2025-06-01Get full text
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1705
Simulation of Land Use and Land Cover Using the MOLUSCE Plugin Integrated with QGIS for the Western Himalayan Region of India
Published 2025-03-01“…In this study, decadal LULC data from 1975, 1985, 1995, 2005, and 2015 was extracted from reliable existing literature, including a recent study by (Rathore et al., 2022). The research is divided into two main stages: model calibration and model validation. …”
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1706
Fast and Adaptive Multi-Agent Planning under Collaborative Temporal Logic Tasks via Poset Products
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Real-time and Cost-efficient Indoor Localization and Mapping Solution for Emergency Response Applications
Published 2025-07-01Get full text
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Implementation of a 2D/3D WebGIS for Electricity Network Management System
Published 2025-07-01“…This research highlights the importance of structured 3D geospatial data and demonstrates how scalable, open-source WebGIS systems can support the energy sector in meeting smart grid and sustainability goals.…”
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Calibration and Validation of Phase One Industrial Cameras
Published 2025-06-01Get full text
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1714
Integrating LiDAR Point Cloud Classification and Building Footprints for Enhanced 3D LOD Building Modeling: A Deep Learning Approach
Published 2025-03-01“…3D Building modeling is crucial for urban planning, helping stakeholders make informed decisions on critical issues such as flood risk assessment, urban heat island effect, and sustainable infrastructure development. In this research, we use RandLA-Net, a cutting-edge deep learning algorithm to classify LiDAR point cloud data to distinguish building structures. …”
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SHapley Additive exPlanations (SHAP) for Landslide Susceptibility Models: Shedding Light on Explainable AI
Published 2025-07-01Get full text
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Railway reconstruction from 3D point cloud using Deep Learning and Parametric Modeling
Published 2024-12-01Get full text
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Permanent Laser Scanning and 3D Time Series Analysis for Geomorphic Monitoring using Low-Cost Sensors and Open-Source Software
Published 2025-07-01“…Changes are quantified via direct point cloud comparison using the M3C2 algorithm and assessed both spatially per epoch as well as regarding the time series information at selected locations. …”
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Querying 3D point clouds exploiting open-vocabulary semantic segmentation of images
Published 2024-12-01Get full text
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