Fusion Experiments of HSI and High Resolution Panchromatic Imagery

Abstract

In this paper, the fusion of hyperspectral imaging (HSI) sensor data and high-resolution panchromatic imagery (HPI) is explored. Spatial/spectral sharpening techniques have been proposed to increase the spatial resolution of spectral imagery with HPI. The intent of the process is to reconstruct high spatial resolution imagery with high spectral fidelity. Target detection and identification of such imagery can be achieved with spectral and spatial processing techniques. Three sharpening approaches are reviewed here. The first one uses pseudo-inverse techniques, the second and third are component replacement methods in spatial and frequency domains, respectively. The performance of these approaches are assessed and shown with examples. In addition, a spatial-spectral analysis with fusion of HSI and HPI is also demonstrated for enhanced target detection and identification.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA400136

Entities

People

  • Hsiao Hua Burke
  • Su May Hsu

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Anomaly Detection
  • Change Detection
  • Data Sets
  • Detection
  • Detectors
  • Frequency
  • Frequency Domain
  • High Resolution
  • Hyperspectral Imagery
  • Identification
  • Image Processing
  • Low Resolution
  • Spectra
  • Target Detection

Readers

  • Aerospace Engineering
  • Computer Vision.