satimage
type: Item
instance of: data set
OpenML dataset ID: 182
dataset version identifier: 1
description: **Author**: Ashwin Srinivasan, Department of Statistics and Data Modeling, University of Strathclyde \N**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite)) - 1993 \N**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) \N\NThe 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. \N\NOne frame of Landsat MSS imagery consists of four digital images of the same scene in different spectral bands. Two of these are in the visible region (corresponding approximately to green and red regions of the visible spectrum) and two are in the (near) infra-red. Each pixel is a 8-bit binary word, with 0 corresponding to black and 255 to white. The spatial resolution of a pixel is about 80m x 80m. Each image contains 2340 x 3380 such pixels. \N\NThe database is a (tiny) sub-area of a scene, consisting of 82 x 100 pixels. Each line of data corresponds to a 3x3 square neighbourhood of pixels completely contained within the 82x100 sub-area. Each line 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. \N\NEach pixel is categorized as one of the following classes: \N1 red soil \N2 cotton crop \N3 grey soil \N4 damp grey soil \N5 soil with vegetation stubble \N6 mixture class (all types present) \N7 very damp grey soil \N\NNB. There are no examples with class 6 in this dataset. \N\NThe data is given in random order and certain lines of data have been removed so you cannot reconstruct the original image from this dataset. \N\N### Attribute information \NThere are 36 predictive attributes (= 4 spectral bands x 9 pixels in neighborh…
upload date: 2014-04-23T00:00:00Z
full work available at URL: satimage.arff
default target attribute: class
OpenML semantic tag: Earth Science
OpenML semantic tag: Images
number of binary features: 0
number of classes: 6
number of features: 37
number of instances: 6430
number of instances with missing values: 0
number of missing values: 0
number of numeric features: 36
number of symbolic features: 1
file format: ARFF
MaRDI profile type: Dataset
description: OpenML dataset with id 182