Effects of JPEG and JPEG2000 Lossy Compression on Remote Sensing Image Classification for Mapping Crops and Forest Areas

@article{Zabala2006EffectsOJ,
  title={Effects of JPEG and JPEG2000 Lossy Compression on Remote Sensing Image Classification for Mapping Crops and Forest Areas},
  author={Alaitz Zabala and Xavier Pons and Ricardo D{\'i}az-Delgado and Fernando Garc{\'i}a-V{\'i}lchez and Francesc Aul{\'i} Llin{\`a}s and Joan Serra-Sagrist{\`a}},
  journal={2006 IEEE International Symposium on Geoscience and Remote Sensing},
  year={2006},
  pages={790-793}
}
This study measures the effect of lossy image compression on the digital classification of crops and forest areas. A hybrid classification method using satellite images and other variables has been used. The results contribute interesting new data on the influence of compression on the quality of the produced cartography, both from a "by pixel" perspective and regarding the homogeneity of the obtained polygons. The classified area in classifications only carried out with radiometric variables… CONTINUE READING

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