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Detailed Landuse Classification based on Multitemporal LANDSAT-MSS Data

J. Lichtenegger and K. Seidel
Proc. Fifteenth International Symposium on Remote Sensing of Environment, Ann Arbor, MI
May 1981

Abstract

It will be shown how the use of the ''time dimension" can help to improve the classification result in contrast to single frame analyses. Several Landsat multispectral scanner frames are registered by means of cross correlation and then superimposed on each other to form a multitemporal data set. These data are analysed for detailed land use categories by a supervised classification algoritm. An example for the enhancement of the classification accuracy with a quantitative ground truth comparison is given. Finally data compression is performed by principal components analysis as a preprocessing procedure prior to conventional visual interpretation. A color representation of the main components demonstrates up to 7 clearly distinguishable land use categories.


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@InProceedings{eth_biwi_01185,
  author = {J. Lichtenegger and K. Seidel},
  title = {Detailed Landuse Classification based on Multitemporal LANDSAT-MSS Data},
  booktitle = {Proc. Fifteenth International Symposium on Remote Sensing of Environment, Ann Arbor, MI},
  year = {1981},
  month = {May},
  pages = {997--1005},
  keywords = {}
}