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Scene classification and segmentation using multispectral sensor fusion implemented with neural networks

机译:使用神经网络实现的多光谱传感器融合进行场景分类和分割

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Abstract: Near-simultaneous, multispectral, coregistered imagery of ground target and background signatures were collected over a full diurnal cycle in the MWIR, LWIR, near-infrared, blue, green, and red wavebands using Battelle's portable sensor suite. The imagery data were processed with classical statistical algorithms and artificial neural networks to discriminate target signatures from background clutter and investigate automatic target detection and recognition schemes.!6
机译:摘要:使用Battelle的便携式传感器套件,在MWIR,LWIR,近红外,蓝色,绿色和红色波段的整个昼夜周期中,收集了地面目标和背景信号的近同时,多光谱,共配准图像。用经典的统计算法和人工神经网络处理图像数据,以从背景混乱中区分目标特征,并研究自动目标检测和识别方案。6

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