Identification of Smoke from Straw Burning in Remote Sensing Images with the Improved YOLOv5s Algorithm
Controlling straw burning is important for ensuring the ambient air quality and for sustainable agriculture. Detecting burning straw is vital for managing and controlling straw burning. Existing methods for detecting straw combustion mainly look for combustion products, especially smoke. In this stu...
Main Authors: | Hua Liu, Jian Li, Jia Du, Boyu Zhao, Yating Hu, Dongming Li, Weilin Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Atmosphere |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4433/13/6/925 |
Similar Items
-
Detection of Smoke from Straw Burning Using Sentinel-2 Satellite Data and an Improved YOLOv5s Algorithm
by: Jian Li, et al.
Published: (2023-05-01) -
Application of the YOLOv6 Combining CBAM and CIoU in Forest Fire and Smoke Detection
by: Aoran Wang, et al.
Published: (2023-11-01) -
Defect Identification of Adhesive Structure Based on DCGAN and YOLOv5
by: Yong Jin, et al.
Published: (2022-01-01) -
CNTCB-YOLOv7: An Effective Forest Fire Detection Model Based on ConvNeXtV2 and CBAM
by: Yiqing Xu, et al.
Published: (2024-02-01) -
Performance Analysis of the YOLOv4 Algorithm for Pavement Damage Image Detection with Different Embedding Positions of CBAM Modules
by: Li Li, et al.
Published: (2022-10-01)