satellite-pixel-synthesis.github.io - Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis

Description: A new conditional pixel synthesis model that uses abundant, low-cost, low-resolution imagery to generate accurate high-resolution imagery at locations and times in which it is unavailable.

remote sensing (205) satellite imagery (29) super resolution (15) generative modeling (5) generative networks (2) pixel synthesis (2)

Example domain paragraphs

High-resolution satellite imagery has proven useful for a broad range of tasks, including measurement of global human population, local economic livelihoods, and biodiversity, among many others. Unfortunately, high-resolution imagery is both infrequently collected and expensive to purchase, making it hard to efficiently and effectively scale these downstream tasks over both time and space. We propose a new conditional pixel synthesis model that uses abundant, low-cost, low-resolution imagery to generate acc

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Links to satellite-pixel-synthesis.github.io (2)