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...

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Dettagli Bibliografici
Autori principali: Javier Marín, Sergio Escalera
Natura: Articolo
Lingua:English
Pubblicazione: MDPI AG 2021-10-01
Serie:Remote Sensing
Soggetti:
Accesso online:https://www.mdpi.com/2072-4292/13/19/3984