在随机森林模型中使用GLCM纹理特征在Sentinel 2图像中增强主动火灾检测

Bao Zhou1, Sha Gao2, Ying Yin1

  • 1College of Electronic and Information Engineering, West Anhui University, Luan, 237000, China.

Scientific reports
|December 27, 2024
PubMed
概括

人类造成的野火严重污染了大气. 这项研究使用 Sentinel-2 数据和纹理特征开发了一个优化的随机森林 (RF) 模型,在中国多样化的景观中实现了86.1%的准确性,用于积极检测火灾.

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