Hyperspectral Target Detection : An Overview of Current and Future Challenges
Hyperspectral Target Detection : An Overview of Current and Future Challenges
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DOI：
10.1109/msp.2013.2278992
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发表时间：
2014
影响因子：
14.9
通讯作者：
N. Nasrabadi
中科院分区：
文献类型：
--
作者：
N. Nasrabadi
在过去的十年里，遥感系统获得的高光谱图像（HSI）提供了有关场景中物质光谱特征的重要信息。通常，高光谱光谱仪在宽范围的电磁光谱上提供数百个窄的连续频带。高光谱传感器测量光谱的可见光和短波红外（IR）区域（或中波和长波IR区域）中物体的反射（或发射）特性。这些数据的处理允许算法通过利用材料的光谱特征来检测和识别高光谱场景中的感兴趣目标[1]，[2]。
Over the last decade, hyperspectral imagery (HSI) obtained by remote sensing systems has provided significant information about the spectral characteristics of the materials in the scene. Typically, a hyperspectral spectrometer provides hundreds of narrow contiguous bands over a wide range of the electromagnetic spectrum. Hyperspectral sensors measure the reflective (or emissive) properties of objects in the visible and short-wave infrared (IR) regions (or the mid-wave and long-wave IR regions) of the spectrum. Processing of these data allows algorithms to detect and identify targets of interest in a hyperspectral scene by exploiting the spectral signatures of the materials [1], [2].