Upsampling

An algorithm that improves the spatial resolution of RGB bands in Pléiades or Pléiades Neo imagery.


Overview

The process upsamples the spatial resolution of the red, green, and blue (RGB) spectral bands in Pléiades and Pléiades Neo imagery using convolutional neural networks.

The result is a GeoTIFF file with an upsampled spatial resolution. The upsampled spatial resolution depends on the collection the input imagery is from.

CollectionSpatial resolution of input imagerySpatial resolution of output imagery
Pléiades50 cm25 cm
Pléiades Neo30 cm10 cm

Upsampling can be used as a preprocessing step before change detection, vegetation detection, infrastructure detection, fire risk estimation, and land use management.

An input Pléiades Neo image of Barcelona (Spain)

An upsampled output image

See more on the marketplace.

Requirements for input imagery

The STAC item must be a supported data product:

  • Pléiades tasking: Custom, of the display radiometric processing level, with the following spectral bands combinations:
    • 3-band: pansharpened true color (RGB)
    • 4-band: pansharpened (RGB and NIR)
    • 4-band: multispectral (RGB and NIR)
    • Bundle: 1 panchromatic and 4 multispectral bands (RGB and NIR)
  • Pléiades Neo tasking: Custom, of the display radiometric processing level, with the following spectral bands combinations:
    • 3-band: pansharpened true color (RGB)
    • 4-band: pansharpened (RGB and NIR)
    • 4-band: multispectral (RGB and NIR)
    • 6-band: pansharpened (deep blue, RGB, red edge, and NIR)
    • 6-band: multispectral (deep blue, RGB, red edge, and NIR)
    • Bundle: 1 panchromatic and 4 multispectral bands (RGB and NIR)
    • Bundle: 1 panchromatic and 6 multispectral bands (deep blue, RGB, red edge, and NIR)
  • Pléiades catalog:
    • Analytic
    • Pansharpened Reflectance
    • Display
  • Pléiades Neo catalog:
    • Analytic
    • Pansharpened Reflectance
    • Display

The STAC item must be CNAM-compatible. Check that the STAC item has been added to storage in 2023 or later.

Input parameters

Required parameters

Input imagery

You need to specify the STAC items you want to apply the process to.

Output title

You need to specify the title of the output objects. This title will be assigned to the resulting STAC item and STAC collection.

API input

Use the upsampling-ns name ID for the processing API.

A sample input payload for the process

JSON

    {
  "inputs": {
    "title": "Image augmentation for PNEO imagery",
    "item": "https://api.up42.com/v2/assets/stac/collections/21c0b14e-3434-4675-98d1-f225507ded99/items/23e4567-e89b-12d3-a456-426614174000",
  }
}

  
ParameterOverview
inputs.titleobject / required
The title of the output objects: STAC item and STAC collection.
inputs.itemobject / required
The STAC item link in the following format: https://api.up42.com/v2/assets/stac/collections/{collection-id}/items/{item-id}

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