[HTML] mdpi.com

[HTML][HTML] A small target forest fire detection model based on YOLOv5 improvement

Z Xue, H Lin, F Wang - Forests, 2022 - mdpi.com
Forest fires are highly unpredictable and extremely destructive. Traditional methods of
manual inspection, sensor-based detection, satellite remote sensing and computer vision …
被引用次数：79 相关文章

A small target forest fire detection model based on YOLOv5 improvement.

Z Xue, H Lin, F Wang - 2022 - cabidigitallibrary.org
Forest fires are highly unpredictable and extremely destructive. Traditional methods of
manual inspection, sensor-based detection, satellite remote sensing and computer vision …

A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement

Z Xue, H Lin, F Wang - Forests, 2022 - search.proquest.com
Forest fires are highly unpredictable and extremely destructive. Traditional methods of
manual inspection, sensor-based detection, satellite remote sensing and computer vision …

A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement.

Z Xue, H Lin, F Wang - Forests (19994907), 2022 - search.ebscohost.com
Forest fires are highly unpredictable and extremely destructive. Traditional methods of
manual inspection, sensor-based detection, satellite remote sensing and computer vision …

A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement

Z Xue, H Lin, F Wang - 2022 - agris.fao.org
Forest fires are highly unpredictable and extremely destructive. Traditional methods of
manual inspection, sensor-based detection, satellite remote sensing and computer vision …

A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement

Z Xue, H Lin, F Wang - agris.fao.org
Forest fires are highly unpredictable and extremely destructive. Traditional methods of
manual inspection, sensor-based detection, satellite remote sensing and computer vision …

[引用][C] A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement

Z Xue, H Lin, F Wang - 2022