ARASAT
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Products · Vision

Satellite Super-Resolution

Detail beyond the sensor, consistent across the time series.

Processing service

Processing service delivered per area of interest

Overview

Can the detail we need be recovered from imagery we already have?

Free satellite imagery resolves ten metres; many decisions need one. Transformer-based super-resolution reconstructs structural detail lost at the sensor's native resolution in visible and near-infrared bands, with enhancement of up to ten times. It is applied across a time series rather than a single frame, so enhanced imagery stays temporally consistent and comparable date to date, and it is evaluated by the accuracy gain it produces in downstream products such as field boundaries and land cover.

Sentinel-2 and comparable multispectral
Input
Up to 10×, RGB and near-infrared
Enhancement
Enhanced across the time series
Consistency
Downstream accuracy gain
Evaluation

Example outputs

  • Side-by-side satellite image at native resolution and after super-resolution

    Native resolution (left) and enhanced output (right) over small-parcel farmland.

How it works

Pipeline and maturity of each stage

  1. 01

    Paired training data

    Operational

    Low- and high-resolution image pairs over diverse landscapes are co-registered and processed to train the reconstruction models.

  2. 02

    Reconstruction

    Operational

    Deep-learning models reconstruct edges and texture, trained so that boundary detail and agricultural texture are preserved rather than invented.

  3. 03

    Downstream use

    Operational

    Enhanced imagery feeds boundary extraction, land cover, crop classification and sub-metre change detection in regions of small parcels or dense structures.

Data used

  • Sentinel-2
  • Comparable multispectral imagery
  • High-resolution reference imagery for training

Methods and models

  • Deep-learning super-resolution
  • Temporal consistency across series
  • Downstream-accuracy evaluation

Outputs

  • Enhanced GeoTIFF
  • Before/after map layout
  • Input to change detection and mapping products

Who it is for

  • Small-parcel agriculture
  • Construction progress and compliance monitoring
  • Urban and infrastructure mapping

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