Early smoke detection of forest fires based on SVM image segmentation
A smoke detection method is proposed in single-frame video sequence images for forest fire detection in large space and complex scenes. A new superpixel merging algorithm is further studied to improve the existing horizon detection algorithm. This method performs Simple Linear Iterative Clustering (...
Main Authors: | Ding Xiong, Lu Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
Czech Academy of Agricultural Sciences
2019-04-01
|
Series: | Journal of Forest Science |
Subjects: | |
Online Access: | https://jfs.agriculturejournals.cz/artkey/jfs-201904-0004_early-smoke-detection-of-forest-fires-based-on-svm-image-segmentation.php |
Similar Items
-
Sentiment analysis and classification of Forest Fires in Indonesia
by: Indra Irawanto, et al.
Published: (2023-04-01) -
Superpixel-Based Graph Convolutional Network for UAV Forest Fire Image Segmentation
by: Yunjie Mu, et al.
Published: (2024-04-01) -
Through Smoke to Policy: Framing the EU Forest Fire Policy Landscape
by: Filip Aggestam
Published: (2024-09-01) -
Using SVM in Classification
by: Stefan PREDA
Published: (2018-12-01) -
Multi-factor coupled forest fire model based on cellular automata
by: Zhou Fangrong, et al.
Published: (2024-12-01)