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Journal of Geodesy and Geoinformation Science
Scopus
ISSN 2096-5990 · Surveying and Mapping Press · 236 artikel di indeks
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A Multi-Baseline PolInSAR Forest Height Inversion Method Taking into Account the Model Ill-posed Problem
Affected by the insufficient information of single baseline observation data, the three-stage method assumes the Ground-to-Volume Ratio (GVR) to be zero so as to invert the vegetation height. However, this assumption introduces much biases into the parameter estimates which greatly limits the…
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Optimization of LSTM Ship Trajectory Prediction Based on Hybrid Genetic Algorithm
Accurate prediction of the movement trajectory of sea surface targets holds significant importance in achieving an advantageous position in the sea battle field. This prediction plays a crucial role in ensuring security defense and confrontation, and is essential for effective deployment of…
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A Web-Based Approach for the Efficient Management of Massive Multi-source 3D Models
Effectively managing extensive, multi-source, and multi-level real-scene 3D models for responsive retrieval scheduling and rapid visualization in the Web environment is a significant challenge in the current development of real-scene 3D applications in China. In this paper, we address this…
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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis
In the continually evolving landscape of data-driven methodologies addressing car crash patterns, a holistic analysis remains critical to decode the complex nuances of this phenomenon. This study bridges this knowledge gap with a robust examination of car crash occurrence dynamics and the…
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Effective Marine Monitoring with Multimodal Sensing and Improved Underwater Robotic Perception towards Environmental Protection and Smart Energy Transition
Effective underwater sensing is crucial for environmental protection and sustainable energy transitions, particularly as we face growing challenges in marine ecosystem monitoring, resource management, and the need for efficient energy infrastructure. To support these efforts, we propose a…
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Research on Building Extraction Based on Object-oriented CART Classification Algorithm and GF-2 Satellite Images
As one of the main geographical elements in urban areas, buildings are closely related to the development of the city. Therefore, how to quickly and accurately extract building information from remote sensing images is of great significance for urban map updating, urban planning and…
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Heterogeneity Effect of Human Disturbances on Landscape Patterns in the Yellow River Delta Wetland, China
Wetland landscapes have undergone tremendous changes and the spatial heterogeneity of wetlands has increased. It's a huge challenge to accurately assess the effect of human disturbance on the landscape patterns in such a complex environment. This paper, taking the Yellow River Delta as a case…
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The Research on Precise Monitoring Methods for Grain Planting Areas Based on High-precision UAV Remote Sensing Images
Precisely monitoring the range of rice cultivation is an essential task for the government to dynamically supervise the red line of 180 million mu ($ 1 mu \approx 666.667 {m^2} $) of arable land. This study aims to address the issues of low efficiency, high cost, and insufficient accuracy in…
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Parameter-driven Level of Detail Derivation Method for Semantic Building Facade Model
The relentless progress in the research of geographic spatial data models and their application scenarios is propelling an unprecedented rich Level of Detail (LoD) in realistic 3D representation and smart cities. This pursuit of rich details not only adds complexity to entity models but also poses…
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The Distribution of Surnames in Xiantao City through Isonymy
The population migration in Hubei Province was frequent in history, accompanied by the migration of surnames, so it is important to study their population surnames. We take Xiantao City as an example to explore the isonymic structure of small and medium-sized cities in Hubei. The surname…
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Spatial-temporal Patterns of Urban Parks' Effects on the Sentiments and Their Associated Factors Based on Social Media Data--a Case Study in Beijing
As the pivotal green space, urban parks play an important role in urban residents' daily activities. Thy can not only bring people physical health, but also can be more likely to elicit positive sentiment to those who visit them. Recently, social media big data has provided new data sources for…
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Analysis and Optimization of Ecological Network Change in Guangxi Beibu Gulf Economic Zone
With the continuous acceleration of urbanization, the resulting habitat fragmentation poses a serious threat to regional ecological security. Constructing an ecological network not only facilitates the positive circulation of regional materials and energy but also holds significant importance for…
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Automatic Extraction Method of 3D Feature Guidelines for Complex Cultural Relic Surfaces Based on Point Cloud
Cultural relics line graphic serves as a crucial form of traditional artifact information documentation, which is a simple and intuitive product with low cost of displaying compared with 3D models. Dimensionality reduction is undoubtedly necessary for line drawings. However, most existing methods…
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ST-Map: an Interactive Map for Discovering Spatial and Temporal Patterns in Bibliographic Data
Getting insight into the spatiotemporal distribution patterns of knowledge innovation is receiving increasing attention from policymakers and economic research organizations. Many studies use bibliometric data to analyze the popularity of certain research topics, well-adopted methodologies…
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Monitoring Surface Deformation Using Distributed Scatterers InSAR
In the past two decades, extensive and in-depth research has been conducted on Time Series InSAR technology with the advancement of high-performance SAR satellites and the accumulation of big SAR data. The introduction of distributed scatterers in Distributed Scatterers InSAR (DS-InSAR) has…
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Flood Velocity Prediction Using Deep Learning Approach
Floods are one of the most serious natural disasters that can cause huge societal and economic losses. Extensive research has been conducted on topics like flood monitoring, prediction, and loss estimation. In these research fields, flood velocity plays a crucial role and is an important factor…
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The Review of Land Use/Land Cover Mapping AI Methodology and Application in the Era of Remote Sensing Big Data
With the increasing number of remote sensing satellites, the diversification of observation modals, and the continuous advancement of artificial intelligence algorithms, historically opportunities have been brought to the applications of earth observation and information retrieval, including…
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Defining the We-map Reference Frames and Providing Mathematical Expressions for Transformation Relations
We-map is an interactive mobile map that can be easily communicated and applied on personal electronic devices, such as personal computers and mobile phones. Therefore, the study of direction systems and coordinate systems is critical, and exploring reference frames is essential in direction and…