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...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Javier Marín, Sergio Escalera
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2021-10-01
Ráidu:Remote Sensing
Fáttát:
aerial image generation
satellite image generation
generative adversarial network
deep learning
structure map
style vector
Liŋkkat:https://www.mdpi.com/2072-4292/13/19/3984

Interneahtta

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

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