Taige Luo
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View article: A Novel WaveInst-based Network for Tree Trunk Structure Extraction and Pattern Analysis in Forest Inventory
A Novel WaveInst-based Network for Tree Trunk Structure Extraction and Pattern Analysis in Forest Inventory Open
The pattern analysis of tree structure holds significant scientific value for genetic breeding and forestry management. The current trunk and branch extraction technologies are mainly LiDAR-based or UAV-based. The former approaches obtain …
View article: Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis
Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis Open
Land Use and Land Cover Change (LUCC) have become popular research topics in the environmental field. With the development of artificial intelligence technology, many downstream applications based on intelligent urban–rural semantic analys…
View article: LSTD-YOLO: A Lightweight Crowd Density Detection Method for Park Environmental Carrying Capacity Monitoring and Early Warning
LSTD-YOLO: A Lightweight Crowd Density Detection Method for Park Environmental Carrying Capacity Monitoring and Early Warning Open
With the rise of digital twins and smart cities, intelligent park management increasingly demands accurate real-time monitoring of visitor density to support spatial planning and policy decisions. Traditional methods primarily focus on tot…
View article: YOLOTree-Individual Tree Spatial Positioning and Crown Volume Calculation Using UAV-RGB Imagery and LiDAR Data
YOLOTree-Individual Tree Spatial Positioning and Crown Volume Calculation Using UAV-RGB Imagery and LiDAR Data Open
Individual tree canopy extraction plays an important role in downstream studies such as plant phenotyping, panoptic segmentation and growth monitoring. Canopy volume calculation is an essential part of these studies. However, existing volu…
View article: VrsNet - density map prediction network for individual tree detection and counting from UAV images
VrsNet - density map prediction network for individual tree detection and counting from UAV images Open
Individual tree detection and counting in unmanned aerial vehicle (UAV) imagery constitute a vital and practical research field. Vegetation remote sensing captures large-scale trees characterized by complex textures, significant growth var…