Forest Fire Detection Algorithm Based on Aerial Image-Reference-Cited by-同舟云学术

Forest Fire Detection Algorithm Based on Aerial Image

Published:2022 Issue: Volume: Page:465-472
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Qi Menglin,Chen Bingcai

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9423-3_58

Reference11 articles.

1. Gao, W.: Problems and suggestions for forest fire prevention. Mod. Agric. Sci. Technol. 21, 142–143 (2018)

2. Poobalan, K., Liew, S.C.: Fire detection based on color filters and Bag-of-Features classification. In: 2015 IEEE Student Conference on Research and Development (SCOReD), pp. 389–392. IEEE (2015)

3. Celik, T., Ma, K.K.: Computer vision based fire detection in color images. In: IEEE Conference on Soft Computing in Industrial Applications, pp. 258–263. IEEE (2008)

4. Wang, T., Bu, L., Zhou, Q., et al.: A new fire recognition model based on the dispersion of color component. In: 2015 IEEE International Conference on Progress in Informatics and Computing (PIC), pp. 138–141. IEEE (2015)

5. Ren, S., He, K., Girshick, R., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Conference on Neural Information Processing Systems, pp. 91–99 (2015)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection;Cluster Computing;2023-04-29

2. Fire images classification based on a handcraft approach;Expert Systems with Applications;2023-02

3. Fire Detection Method Based on Infrared Image and Visible Image;Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022);2023