Using the MaxD Target Detection ( MaxDTD ) Algorithm in ENVI with AVIRIS Data ∗

@inproceedings{Ientilucci2004UsingTM,
  title={Using the MaxD Target Detection ( MaxDTD ) Algorithm in ENVI with AVIRIS Data ∗},
  author={Emmett J. Ientilucci},
  year={2004}
}
This report accompanies the MaxD target detection algorithm implemented in the ENVI environment. The intent of the report is to describe the results obtained by using a provided AVIRIS test data set. Topics addressed include basic results on implementing the test data, how the test data set was processed and calibrated, and how the sensor response was applied. A brief analysis of results beyond the typical algorithm run is also discussed. 

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Showing 1-3 of 3 references

A subpixel target detection technique based on the invariance approach

  • J. R. Schott, K. Lee, R. Raqueno, G. Hoffmann, G. Healey
  • To be published,
  • 2004
1 Excerpt

A subpixel scale target detection algorithm for hyperspectral imagery

  • K. Lee
  • PhD dissertation, Rochester Institute of…
  • 2003
1 Excerpt

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