Early smoke detection of forest fires based on SVM image segmentation

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 (...

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Bibliographic Details
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:
support vector machines (svm)
single frame
horizon detection
superpixel merging
forest fire prevention
Online Access:https://jfs.agriculturejournals.cz/artkey/jfs-201904-0004_early-smoke-detection-of-forest-fires-based-on-svm-image-segmentation.php

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https://jfs.agriculturejournals.cz/artkey/jfs-201904-0004_early-smoke-detection-of-forest-fires-based-on-svm-image-segmentation.php

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