ON THE POTENTIAL OF HYPERSPECTRAL AND SENTINEL-2 DATA FOR LANDCOVER / LAND-USE CLASSIFICATION

@inproceedings{Weinmann2018ONTP,
  title={ON THE POTENTIAL OF HYPERSPECTRAL AND SENTINEL-2 DATA FOR LANDCOVER / LAND-USE CLASSIFICATION},
  author={Martin Weinmann and Philipp M. Maier and J. Florath and Uwe Weidner},
  year={2018}
}
The automated analysis of large areas with respect to land-cover and land-use is nowadays typically performed based on the use of hyperspectral or multispectral data acquired from airborne or spaceborne platforms. While hyperspectral data offer a more detailed description of the spectral properties of the Earth’s surface and thus a great potential for a variety of applications, multispectral data are less expensive and available in shorter time intervals which allows for time series analyses… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 47 REFERENCES

Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data

  • 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
  • 2016
VIEW 15 EXCERPTS
HIGHLY INFLUENTIAL

Random forest classifiers for hyperspectral data

  • Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.
  • 2005
VIEW 13 EXCERPTS
HIGHLY INFLUENTIAL

On the mean accuracy of statistical pattern recognizers

G. F. Hughes
  • IEEE Transactions on Information Theory
  • 1968
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Overview Of Sentinel-2

  • 2012 IEEE International Geoscience and Remote Sensing Symposium
  • 2012
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Simulation of Spatial Sensor Characteristics in the Context of the EnMAP Hyperspectral Mission

  • IEEE Transactions on Geoscience and Remote Sensing
  • 2010
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Airborne Remote Sensing – ROSIS Bonn 2008 Summary Report

P. Gege, M. Bachmann, S. Holzwarth
  • 2008
VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

Airborne Remote Sensing – ROSIS Bonn 2008 Summary Report. Technical report, German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF)

P. Gege, M. Bachmann, S. Holzwarth
  • 2008
VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

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