Quality Assessment of Preclassification Maps Generated From Spaceborne/Airborne Multispectral Images by the Satellite Image Automatic Mapper and Atmospheric/Topographic Correction-Spectral Classification Software Products: Part 1—Theory

@article{Baraldi2015QualityAO,
  title={Quality Assessment of Preclassification Maps Generated From Spaceborne/Airborne Multispectral Images by the Satellite Image Automatic Mapper and Atmospheric/Topographic Correction-Spectral Classification Software Products: Part 1—Theory},
  author={Andrea Baraldi and Michael L. Humber},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2015},
  volume={8},
  pages={1307-1329}
}
In compliance with the Quality Assurance Framework for Earth Observation (QA4EO) guidelines, the goal of this paper is to provide a theoretical comparison and an experimental quality assessment of two operational (ready-for-use) expert systems (prior knowledge-based nonadaptive decision trees) for automatic near real-time preattentional classification and segmentation of spaceborne/airborne multispectral (MS) images: the Satellite Image Automatic Mapper™ (SIAM™) software product and the… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-6 OF 6 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 85 REFERENCES

Atmospheric/topographic correction for 1761 airborne imagery, ATCOR-4 User Guide, Version 6.2.1, DLR-IB

  • R. Richter, D. Schläpfer
  • Aerospace Center,
  • 2013
Highly Influential
10 Excerpts

Recent developments in 1766 operational atmospheric and radiometric correction of hyperspectral 1767 imagery

  • R. Richter, D. Schläpfer, A. Hueni
  • Proc. 6th EARSeL SIG IS Workshop, Tel Aviv…
  • 2009
Highly Influential
7 Excerpts

Similar Papers

Loading similar papers…