Automated Tree Detection Using Image Processing and Multisource Data
This paper presents a method for the automatic detection and assessment of trees and tree-covered areas in Katowice, the capital of the Upper Silesian Industrial Region in southern Poland. The proposed approach utilizes satellite imagery and height maps, employing image-processing techniques and int...
Saved in:
| Main Authors: | Grzegorz Dziczkowski, Barbara Probierz, Przemysław Juszczuk, Piotr Stefański, Tomasz Jach, Szymon Głowania, Jan Kozak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/2/667 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Learning for Urban Tree Canopy Coverage Analysis: A Comparison and Case Study
by: Grayson R. Morgan, et al.
Published: (2024-11-01) -
A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus
by: Arslan Amin, et al.
Published: (2024-12-01) -
An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment
by: Julian R. Rice, et al.
Published: (2025-08-01) -
A Scene–Object–Economy Framework for Identifying and Validating Urban–Rural Fringe Using Multisource Geospatial Big Data
by: Ganmin Yin, et al.
Published: (2024-11-01) -
Urban tree species classification using multisource satellite remote sensing data and street view imagery
by: Shufan Wang, et al.
Published: (2025-01-01)