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English(EN) Aircraft Detection in Satellite Imagery using Deep Learning Object Detectors

深度学习框架增强了卫星图像中的飞机检测能力

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一个新的卫星图像飞机检测框架，该框架结合了图像增强技术和深度学习目标检测模型。所提出的方法利用Gabor滤波器进行特征提取和降噪，然后进行归一化以确保数据分布均匀。接着采用基于YOLOv11的模型进行高效特征学习和识别。该方法实现了95%的平均精度均值（mAP），证明了其在监控和遥感分析等实时应用中的有效性。 AI

影响 这项研究可以提高卫星图像中飞机检测的准确性和效率，从而惠及监控和遥感等应用。

排序理由 该集群包含一篇学术论文，详细介绍了使用深度学习进行目标检测的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

深度学习框架增强了卫星图像中的飞机检测能力

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该集群包含一篇学术论文，详细介绍了使用深度学习进行目标检测的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Mujahir Hussain Abbasi (Department of Information Technology Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India), S. Beghin (Bose School of Computational,Physical Sciences Kristu Jayanti, Bengaluru, Karnataka), A. T. R. Krishna… ·

    使用深度学习目标检测器在卫星图像中进行飞机检测

    arXiv:2607.02699v1 Announce Type: new Abstract: The object detection in satellite imagery has garnered considerable attention due to its extensive real-world applications and the inherent challenges it presents, including noise, fluctuating image quality, and intricate background…

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