SATIMAGE DATASET DOWNLOAD

If you are using R here's how to get the data you want quickly loaded: One frame of Landsat MSS imagery consists of four digital images of the same scene in different spectral bands. In the sample database, the class of a pixel is coded as a number. If you like you can use only these four attributes, while ignoring the others. UCI - Please cite:

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Each pixel is categorized as one of the following classes: Signup to Premium Service for additional or customised data - Get Started.

Compressed versions of dataset. Each pixel is a 8-bit binary word, with 0 corresponding to black and to white. You can search over a thousand datasets on datahub.

The database is a tiny sub-area of a scene, consisting of 82 x pixels. There are no examples with class 6 in this dataset. Install the Frictionless Data data package library and the pandas itself: Read me The resources for this dataset can be found at https: In each line of data the four spectral values for the top-left pixel are satimzge first followed by the four spectral values for the top-middle pixel and dahaset those for the top-right pixel, and so on with the datast read out in sequence left-to-right and top-to-bottom.

If you are using R here's how to get the data you want quickly loaded: The data is given in random order and certain lines of data have been removed so you cannot reconstruct the original image from this dataset.

Satimage-2 dataset

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 resources for this dataset can be found at https: This avoids the problem which arises when a 3x3 neighbourhood straddles a boundary.

Get a list dtaset dataset's resources curl -L -s https: If you like you can use only these four attributes, while ignoring the others. 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.

The aim is to predict this classification, given the multi-spectral values. Thus, the four spectral values for the central pixel are given by attributes 17,18,19 and You might need to run the script with root permissions if you datasey running on Linux machine. This is a preview version. UCI The database consists of the multi-spectral values of pixels in 3x3 neighbourhoods in a read more.

If you are using JavaScript, please, follow instructions below: Each line of data corresponds to a 3x3 square neighbourhood of pixels completely contained within the 82x 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 satkmage of the central pixel. In this version, the pixel values 0… are normalized around 0. The spatial resolution of a pixel is about 80m x 80m.

Satimage - Dataset - DataHub - Frictionless Data

UCI - Please cite: Each image contains x such pixels. One frame of Landsat MSS imagery consists of four digital images of the same scene in different spectral bands.

There might be more data in the original version. UCI 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. In the sample database, the class of a pixel is coded as a number. Not found what you're looking for?