Efficient tree mapping through deep distance transform (DDT) learning
Trees provide essential ecosystem services in urban areas, rural landscapes and forests. Individual tree information can inform forest and risk modelling, health studies and decision-making in public and non-governmental sectors. The increase in available remote sensing data and advances in automate...
Saved in:
| Main Authors: | Jan Schindler, Ziyi Sun, Bing Xue, Mengjie Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | ISPRS Open Journal of Photogrammetry and Remote Sensing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667393225000146 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feature Fusion to Improve YOLOv8 for Segmenting and Classifying Aerial Images of Tree Crowns
by: Ziyi Sun, et al.
Published: (2025-01-01) -
A Neuro-Symbolic Framework for Tree Crown Delineation and Tree Species Classification
by: Ira Harmon, et al.
Published: (2024-11-01) -
Mapping individual tree crowns to extract morphological attributes in urban areas using unmanned aerial vehicle-based LiDAR and RGB data
by: Geonung Park, et al.
Published: (2025-09-01) -
An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data
by: Jiaxuan Jia, et al.
Published: (2025-01-01) -
Forest Three-Dimensional Reconstruction Method Based on High-Resolution Remote Sensing Image Using Tree Crown Segmentation and Individual Tree Parameter Extraction Model
by: Guangsen Ma, et al.
Published: (2025-06-01)