| Title:
|
Wildfires identification: Semantic segmentation using support vector machine classifier (English) |
| Author:
|
Pecha, Marek |
| Author:
|
Langford, Zachary |
| Author:
|
Horák, David |
| Author:
|
Tran Mills, Richard |
| Language:
|
English |
| Journal:
|
Programs and Algorithms of Numerical Mathematics |
| Volume:
|
Proceedings of Seminar. Jablonec nad Nisou, June 19-24, 2022 |
| Issue:
|
2022 |
| Year:
|
|
| Pages:
|
173-186 |
| . |
| Category:
|
math |
| . |
| Summary:
|
This paper deals with wildfire identification in the Alaska regions as a semantic segmentation task using support vector machine classifiers. Instead of colour information represented by means of BGR channels, we proceed with a normalized reflectance over 152 days so that such time series is assigned to each pixel. We compare models associated with $\mathcal{l}1$-loss and $\mathcal{l}2$-loss functions and stopping criteria based on a projected gradient and duality gap in the presented benchmarks. (English) |
| Keyword:
|
wildfire identification |
| Keyword:
|
semantic segmentation |
| Keyword:
|
support vector machines |
| Keyword:
|
distributed training |
| MSC:
|
68T09 |
| MSC:
|
68T45 |
| MSC:
|
68W15 |
| DOI:
|
10.21136/panm.2022.16 |
| . |
| Date available:
|
2023-04-13T06:26:38Z |
| Last updated:
|
2025-06-02 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/703198 |
| . |
