The semantic segmentation of standing tree images based on the Yolo V7 deep learning algorithm

L Cao, X Zheng, L Fang - Electronics, 2023 - mdpi.com
The existence of humans and the preservation of the natural ecological equilibrium depend
greatly on trees. The semantic segmentation of trees is very important. It is crucial to learn …

Application of a novel multiscale global graph convolutional neural network to improve the accuracy of forest type classification using aerial photographs

H Pei, T Owari, S Tsuyuki, Y Zhong - Remote Sensing, 2023 - mdpi.com
The accurate classification of forest types is critical for sustainable forest management. In
this study, a novel multiscale global graph convolutional neural network (MSG-GCN) was …

Integration of Unmanned Aerial Vehicle Imagery and Machine Learning Technology to Map the Distribution of Conifer and Broadleaf Canopy Cover in Uneven-Aged …

NM Htun, T Owari, S Tsuyuki, T Hiroshima - Drones, 2023 - mdpi.com
Uneven-aged mixed forests have been recognized as important contributors to biodiversity
conservation, ecological stability, carbon sequestration, the provisioning of ecosystem …

Remote Sensing Image Segmentation for Aircraft Recognition Using U-Net as Deep Learning Architecture

F Shaar, A Yılmaz, AE Topcu, YI Alzoubi - Applied Sciences, 2024 - mdpi.com
Recognizing aircraft automatically by using satellite images has different applications in both
the civil and military sectors. However, due to the complexity and variety of the foreground …

[HTML][HTML] Rapid Forest Change Detection Using Unmanned Aerial Vehicles and Artificial Intelligence

J Xiang, Z Zang, X Tang, M Zhang, P Cao, S Tang… - Forests, 2024 - mdpi.com
Forest inspection is a crucial component of forest monitoring in China. The current methods
for detecting changes in forest patches primarily rely on remote sensing imagery and …

[HTML][HTML] Remote-sensing extraction and carbon emission reduction benefit assessment for centralized photovoltaic power plants in Agrivoltaic systems

C Huang, L Xie, W Chen, Y Lin, Y Wu, P Li, W Chen… - Applied Energy, 2024 - Elsevier
The utilization of renewable energy is an essential way to address climate change and
achieve “carbon neutrality”. As one of the most promising strategies for energy development …

Mapping the distribution of high-value broadleaf tree crowns through unmanned aerial vehicle image analysis using deep learning

NM Htun, T Owari, S Tsuyuki, T Hiroshima - Algorithms, 2024 - mdpi.com
High-value timber species with economic and ecological importance are usually distributed
at very low densities, such that accurate knowledge of the location of these trees within a …

[HTML][HTML] Detecting Canopy Gaps in Uneven-Aged Mixed Forests through the Combined Use of Unmanned Aerial Vehicle Imagery and Deep Learning

NM Htun, T Owari, S Tsuyuki, T Hiroshima - Drones, 2024 - mdpi.com
Canopy gaps and their associated processes play an important role in shaping forest
structure and dynamics. Understanding the information about canopy gaps allows forest …

BSCDNet: A building change detection network with category differentiation using a graph attention mechanism and multitask learning

Q Shen, S Tao, R Yang, X Zhang… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Recent building-oriented change detection studies considered only morphological changes
in buildings, and few publicly available change detection datasets further distinguish among …

A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data

G Andresini, A Appice, D Malerba - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Massive tree dieback events triggered by various disturbance agents, such as insect
outbreaks, pests, fires, and windstorms, have recently compromised the health of forests in …