Results 11 to 20 of about 4,939,742 (208)

FuF-Det: An Early Forest Fire Detection Method under Fog

Remote Sensing, 2023
In recent years, frequent forest fires have seriously threatened the earth’s ecosystem and people’s lives and safety. With the development of machine vision and unmanned aerial vehicle (UAVs) technology, UAV monitoring combined with machine vision has ...
Yaxuan Pang, Yiquan Wu, Yubin Yuan
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Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire Smoke Using Smoke-Unet and Landsat-8 Imagery

Remote Sensing, 2021
Forest fire is a ubiquitous disaster which has a long-term impact on the local climate as well as the ecological balance and fire products based on remote sensing satellite data have developed rapidly.
Zewei Wang, Pengfei Yang, Haotian Liang, Change Zheng, Jiyan Yin, Ye Tian, Wenbin Cui   +6 more
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Full-Scale Fire Smoke Root Detection Based on Connected Particles

Sensors, 2022
Smoke is an early visual phenomenon of forest fires, and the timely detection of smoke is of great significance for early warning systems. However, most existing smoke detection algorithms have varying levels of accuracy over different distances.
Xuhong Feng, Pengle Cheng, Feng Chen, Ying Huang   +3 more
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Research on Forest Fire Detection Algorithm Based on Improved YOLOv5

Machine Learning and Knowledge Extraction, 2023
Forest fires are one of the world’s deadliest natural disasters. Early detection of forest fires can help minimize the damage to ecosystems and forest life. In this paper, we propose an improved fire detection method YOLOv5-IFFDM for YOLOv5. Firstly, the
Jianfeng Li, Xiaoqin Lian
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A lightweight deep learning framework for early fire and smoke detection in forest fire monitoring

Frontiers in Forests and Global Change
IntroductionEfficient early forest fire detection is important for mitigating wildfire spread and related ecological and socio-economic losses. However, vision-based detection remains challenging because fire and smoke targets often exhibit large-scale ...
Jie Hu, Zishuai Jia, Jiaxin Feng, Yian Ding, Shujie Wang, Shuai Zhang, Juan Liu   +6 more
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Research and application of deep learning object detection methods for forest fire smoke recognition

Scientific Reports
Forest fires are severe ecological disasters worldwide that cause extensive ecological destruction and economic losses while threatening biodiversity and human safety. With the escalation of climate change, the frequency and intensity of forest fires are
Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma   +4 more
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A physics-based remote sensing framework for forest fire smoke detection toward early fire warning

International Journal of Applied Earth Observations and Geoinformation
Forest fire smoke significantly disrupts regional carbon cycles and degrades air quality, highlighting an urgent need for highly sensitive detection and inversion models to improve early warning systems. This study proposes a physics-based remote sensing
Yehan Sun, Jun Pan, Lijun Jiang, You Tian, Jiayi Zhang, Kaifeng Liu   +5 more
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Application of the YOLOv6 Combining CBAM and CIoU in Forest Fire and Smoke Detection

Forests, 2023
Forest fires are a vulnerable and devastating disaster that pose a major threat to human property and life. Smoke is easier to detect than flames due to the vastness of the wildland scene and the obscuring vegetation. However, the shape of wind-blown smoke is constantly changing, and the color of smoke varies greatly from one combustion chamber to ...
Aoran Wang, Guanghao Liang, Xuan Wang, Yongchao Song   +3 more
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SmokeFireNet: A Lightweight Network for Joint Detection of Forest Fire and Smoke

Forests
In recent years, forest fires have been occurring frequently around the globe, affected by extreme weather and dry climate, causing serious economic losses and environmental pollution. In this context, timely detection of forest fire smoke is crucial for realizing real-time early warning of fires. However, fire and smoke from forest fires can spread to
Yi Chen, Fang Wang
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Integration of YOLOv11 and Histogram Equalization for Fire and Smoke-Based Detection of Forest and Land Fires

Computers, Materials & Continua
Integration of YOLOv11 and Histogram Equalization for Fire and Smoke-Based Detection of Forest and Land ...
Christine Dewi, Melati Viaeritas Vitrieco Santoso, Hanna Prillysca Chernovita, Evangs Mailoa, Stephen Abednego Philemon, Abbott Po Shun Chen   +5 more
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