Arid
DOI10.2172/1069218
报告编号PNNL-17105
来源IDOSTI_ID: 1069218
3D-FFT for Signature Detection in LWIR Images
Medvick, Patricia A.; Lind, Michael A.; Mackey, Patrick S.; Nuffer, Lisa L.; Foote, Harlan P.
英文摘要Improvements in analysis detection exploitation are possible by applying whitened matched filtering within the Fourier domain to hyperspectral data cubes. We describe an implementation of a Three Dimensional Fast Fourier Transform Whitened Matched Filter (3DFFTMF) approach and, using several example sets of Long Wave Infra Red (LWIR) data cubes, compare the results with those from standard Whitened Matched Filter (WMF) techniques. Since the variability in shape of gaseous plumes precludes the use of spatial conformation in the matched filtering, the 3DFFTMF results were similar to those of two other WMF methods. Including a spatial low-pass filter within the Fourier space can improve signal to noise ratios and therefore improve detection limit by facilitating the mitigation of high frequency clutter. The improvement only occurs if the low-pass filter diameter is smaller than the plume diameter.
出版年2007
报告类型Technical Report
语种英语
国家美国
来源学科分类Whitened Matched Filtering, Fourier domain
URLhttp://www.osti.gov/scitech/servlets/purl/1069218
资源类型科技报告
条目标识符http://119.78.100.177/qdio/handle/2XILL650/269495
推荐引用方式
GB/T 7714
Medvick, Patricia A.,Lind, Michael A.,Mackey, Patrick S.,et al. 3D-FFT for Signature Detection in LWIR Images,2007.
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