Physics-Based Detectors Applied to Long-Wave Infrared Hyperspectral Data

Abstract

Long-wave infrared (LWIR) hyperspectral image (HSI) data presents an interesting challenge for automatic target detection algorithms. LWIR HSI data is useful for both day and night operations, but weak signatures like disturbed soil can be problematic for standard matched-filter techniques. In this paper, we augment the standard matched-filter techniques with physics-based information particular to HSI data. Our results show that these physics-based detectors provide improved detection performance with quick processing times.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481339

Entities

People

  • Joshua Broadwater
  • Rama Chellappa

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Detection
  • Detectors
  • Filters
  • Hyperspectral Imagery
  • Long-Wavelength Infrared Radiation
  • Matched Filters
  • Materials
  • Remote Sensing
  • Standards
  • Statistical Algorithms
  • Target Detection
  • Target Recognition
  • Target Signatures
  • Warning Systems

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design