title: Selection of optimal combinations of band-pass filters for ice detection by hyperspectral imaging.
abstract: Hyperspectral imaging captures rich information in spatial and spectral domains but involves high costs and complex data processing. The use of a set of optical band-pass filters (BPFs) in the acquisition of spectral images is proposed for reducing dimensionality of spectral data while maintaining target detection and/or categorization performance. A set of BPFs that could distinguish ice from surrounding water on various materials (e.g., asphalt), was designed as an example. Relatively high accuracy (90.28%) was achieved with only two BPFs, showing the potential of this approach for accurate target detection with lesser complexity than conventional methods.
authors.affiliation: Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan. nakauchi@tut.jp
authors.forename: Shigeki
authors.initials: S
authors.lastname: Nakauchi
authors.forename: Ken
authors.initials: K
authors.lastname: Nishino
authors.forename: Takuya
authors.initials: T
authors.lastname: Yamashita
mesh_terms: D001334:Automobile Driving; D006838:Hydrocarbons; D007053:Ice; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008962:Models, Theoretical; D010781:Photography / Q000295:instrumentation / Q000379:methods; D011874:Radiometry / Q000295:instrumentation / Q000379:methods; D058998:Remote Sensing Technology / Q000295:instrumentation / Q000379:methods*; D013053:Spectrophotometry / Q000295:instrumentation / Q000379:methods*; D014867:Water
chemical_list: D006838:Hydrocarbons; D007053:Ice; D014867:Water; C006647:asphalt