Removing Parallax-Induced False Changes in Change Detection

Abstract

Accurate change detection (CD) results in urban environments is of interest to a diverse set of applications including military surveillance, environmental monitoring, and urban development. This work presents a hyperspectral CD (HSCD) framework. The framework uncovers the need for HSCD methods that resolve false change caused by image parallax. A Generalized Likelihood Ratio Test (GLRT) statistic for HSCD is developed that accommodates unknown mis-registration between imagery described by a prior probability density function for the spatial mis-registration. The potential of the derived method to incorporate more complex signal proccessing functions is demonstrated by the incorporation of a parallax error mitigation component. Results demonstrate that parallax mitigation reduces false alarms.

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 2014
Accession Number
ADA609694

Entities

People

  • Karmon M. Vongsy

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Detection
  • Detectors
  • Dimensionality Reduction
  • Geographic Information Systems
  • Hyperspectral Imagery
  • Image Processing
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Remote Sensing
  • Three Dimensional
  • Two Dimensional
  • United States Government

Readers

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