SSSGAN: Satellite Style and Structure Generative Adversarial Networks

SSSGAN: Satellite Style and Structure Generative Adversarial Networks

This work presents Satellite Style and Structure Generative Adversarial Network (SSGAN), a generative model of high resolution satellite imagery to support image segmentation. Based on spatially adaptive denormalization modules (SPADE) that modulate the activations with respect to segmentation map s...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Javier Marín, Sergio Escalera
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2021-10-01
Sarja:Remote Sensing
Aiheet:
aerial image generation
satellite image generation
generative adversarial network
deep learning
structure map
style vector
Linkit:https://www.mdpi.com/2072-4292/13/19/3984

Internet

https://www.mdpi.com/2072-4292/13/19/3984

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