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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Javier Marín, Sergio Escalera
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2021-10-01
Schriftenreihe:Remote Sensing
Schlagworte:
aerial image generation
satellite image generation
generative adversarial network
deep learning
structure map
style vector
Online Zugang:https://www.mdpi.com/2072-4292/13/19/3984

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

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