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 …
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
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 …
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 …
Uneven-aged mixed forests have been recognized as important contributors to biodiversity
conservation, ecological stability, carbon sequestration, the provisioning of ecosystem …
conservation, ecological stability, carbon sequestration, the provisioning of ecosystem …
Remote Sensing Image Segmentation for Aircraft Recognition Using U-Net as Deep Learning Architecture
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 …
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 …
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 …
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
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 …
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
Canopy gaps and their associated processes play an important role in shaping forest
structure and dynamics. Understanding the information about canopy gaps allows 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 …
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
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 …
outbreaks, pests, fires, and windstorms, have recently compromised the health of forests in …