Spectral–Spatial transformer-based semantic segmentation for large-scale mapping of individual date palm trees using very high-resolution satellite data-Reference-Cited by-同舟云学术

Spectral–Spatial transformer-based semantic segmentation for large-scale mapping of individual date palm trees using very high-resolution satellite data

Published:2024-06 Issue: Volume:163 Page:112110
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Al-Ruzouq Rami,Gibril Mohamed Barakat A.,Shanableh Abdallah,Bolcek Jan,Lamghari Fouad,Hammour Nezar Atalla,El-Keblawy Ali,Jena Ratiranjan

Publisher

Elsevier BV

Reference92 articles.

1. “Food and Agriculture Organization.” FAOSTAT [Internet]. [accessed 2021 Mar 9]. http://www.fao.org/faostat/en/#data/QC.

2. A large-scale dataset and deep learning model for detecting and counting olive trees in satellite imagery;Abozeid;Comput Intell Neurosci.,2022

3. Akca S, Polat N. 2022. Semantic segmentation and quantification of trees in an orchard using UAV orthophoto. Earth Sci Informatics 2022 154 [Internet]. [accessed 2022 Nov 28] 15(4):2265–2274. https://doi.org/10.1007/S12145-022-00871-Y.

4. Image segmentation parameter selection and ant colony optimization for date palm tree detection and mapping from very-high-spatial-resolution aerial imagery;Al-Ruzouq;Remote Sens [internet].,2018

5. TreeFormer : a semi-supervised transformer-based framework for tree counting from a single;Amirkolaee;IEEE Trans Geosci Remote Sens.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sub-national scale mapping of individual olive trees integrating Earth observation and deep learning;ISPRS Journal of Photogrammetry and Remote Sensing;2024-11