Xiaoji Lan
Biographic Data
| ID | 8276086 |
|---|---|
| NAME | Xiaoji Lan |
| GIVEN NAMES | Xiaoji |
| FAMILY NAME | Lan |
| SIGNATURE | LAN X |
| AFFILIATIONS | Jiangxi University of Science and Technology |
| ORCID | 0000-0003-2302-3777 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A High-Resolution Remote Sensing Building Extraction Network Integrating Multi-Scale Sequence Modeling and Spatial Adaptive Enhancement
Building extraction from high-resolution remote sensing imagery holds significant value for urban planning, disaster assessment, and geospatial analysis. However, current semantic segmentation models still face limitations when handling complex scenarios characterized by diverse building morphologies, significant scale variations, and blurred boundaries. To address the challenges of insufficient long-range dependency modeling, suboptimal multi-sc…
A Progressive Clustering Approach for Buildings Using MST and SOM with Feature Factors
To address the challenges in current research on spatial clustering algorithms for buildings in topographic maps—namely, their limited ability to effectively accommodate diverse application scenarios, including dense and regular urban environments, sparsely and irregularly distributed rural areas, and urban villages with complex structures—this paper introduces an innovative progressive clustering algorithm framework. The proposed framework opera…
Geographical Entity Management Model Based on Multi-Classification
Scientific and logical classification is crucial for efficient information storage, management, and sharing. However, there are numerous existing classification systems for geographical entities, and the categories to which the same geographical entity belongs are often different in the business databases constructed according to different classification systems, which brings great obstacles to the management and sharing of geographical informati…
No prominent works on this page.
Geographical Entity Management Model Based on Multi-Classification
Scientific and logical classification is crucial for efficient information storage, management, and sharing. However, there are numerous existing classification systems for geographical entities, and the categories to which the same geographical entity belongs are often different in the business databases constructed according to different classification systems, which brings great obstacles to the management and sharing of geographical informati…
A Progressive Clustering Approach for Buildings Using MST and SOM with Feature Factors
To address the challenges in current research on spatial clustering algorithms for buildings in topographic maps—namely, their limited ability to effectively accommodate diverse application scenarios, including dense and regular urban environments, sparsely and irregularly distributed rural areas, and urban villages with complex structures—this paper introduces an innovative progressive clustering algorithm framework. The proposed framework opera…
A High-Resolution Remote Sensing Building Extraction Network Integrating Multi-Scale Sequence Modeling and Spatial Adaptive Enhancement
Building extraction from high-resolution remote sensing imagery holds significant value for urban planning, disaster assessment, and geospatial analysis. However, current semantic segmentation models still face limitations when handling complex scenarios characterized by diverse building morphologies, significant scale variations, and blurred boundaries. To address the challenges of insufficient long-range dependency modeling, suboptimal multi-sc…
Computer Science (2 works) · Advanced Clustering Algorithms Research (1 work) · Advanced Neural Network Applications (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Cluster analysis (1 work) · Data Management and Algorithms (1 work) · Data Mining Algorithms and Applications (1 work) · Feature extraction (1 work) · Geographic Information Systems Studies (1 work)