English(EN) Scale-based Approach for Active Wildfire Segmentation on Satellite Imagery

新方法改进使用Landsat-8影像的火灾分割

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了一种使用Landsat-8卫星影像分割主动火灾的新方法，解决了火灾像素数据稀疏和不平衡的挑战。该研究评估了三种分割架构——U-Net、DeepLabV3+和SegFormer——并发现U-Net在各种火灾大小和密度下表现出最强的鲁棒性。短波红外2（SWIR2）光谱波段持续产生最佳或接近最佳的结果，凸显了其在主动火灾检测中的重要性。 AI

影响增强了火灾监测和响应的遥感能力。

排序理由详细介绍图像分割新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Matheus F. Kovaleski, Cristiano Premebida, Jo\~ao Ruivo Paulo · 2026-09-02 04:00

基于尺度的卫星影像主动火灾分割方法

arXiv:2609.01392v1 Announce Type: new Abstract: Active wildfire mapping from satellite imagery is challenging due to the sparse and highly imbalanced nature of fire pixels, especially in early-stage or low-density fire observations. This work investigates the use of multispectral…

本文如何被排名

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基于尺度的卫星影像主动火灾分割方法

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