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KEEL-dataset - data set description

This section describes main characteristics of the satimage data set and its attributes:

General information

Landsat Satellite data set
TypeClassificationOriginReal world
Features 36(Real / Integer / Nominal)(0 / 36 / 0)
Instances6435 Classes7
Missing values?No

Attribute description

Sp11[0, 255]Sp24[0, 255]Sp37[0, 255]
Sp12[0, 255]Sp25[0, 255]Sp38[0, 255]
Sp13[0, 255]Sp26[0, 255]Sp39[0, 255]
Sp14[0, 255]Sp27[0, 255]Sp41[0, 255]
Sp15[0, 255]Sp28[0, 255]Sp42[0, 255]
Sp16[0, 255]Sp29[0, 255]Sp43[0, 255]
Sp17[0, 255]Sp31[0, 255]Sp44[0, 255]
Sp18[0, 255]Sp32[0, 255]Sp45[0, 255]
Sp19[0, 255]Sp33[0, 255]Sp46[0, 255]
Sp21[0, 255]Sp34[0, 255]Sp47[0, 255]
Sp22[0, 255]Sp35[0, 255]Sp48[0, 255]
Sp23[0, 255]Sp36[0, 255]Sp49[0, 255]

Additional information

The database consists of the multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image, and the classification associated with the central pixel in each neighbourhood. The aim is to predict this classification, given the multi-spectral values. In the sample database, the class of a pixel is coded as a number.

Each example contains the pixel values in the four spectral bands (converted to ASCII) of each of the 9 pixels in the 3x3 neighbourhood and a number indicating the classification label of the central pixel. The number is a code for the following classes:

- 1: red soil
- 2: cotton crop
- 3: grey soil
- 4: damp grey soil
- 5: soil with vegetation stubble
- 6: mixture class (all types present)
- 7: very damp grey soil

In this section you can download some files related to the satimage data set:

  • The complete data set already formatted in KEEL format can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository . The original page where the data set can be found is:

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