Hyperspectral imaging (HSI) electro-optical sensors, with their hundreds of contiguous spectral bands, are a rich data source useful in a variety of applications. Numerous examples have demonstrated their potential. Understanding the characteristics of HSI data is important not only for algorithm design and assessment, but also for accurate modeling in a performance prediction context. Initial results are presented from an investigation exploring the applicability of characterizing the data with the first and second spectral statistical moments.
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
International Geoscience and Remote Sensing Symposium (IGARSS) (2000)
RIT – Main Campus