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...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors: Javier Marín, Sergio Escalera
Format: Article
Sprog:English
Udgivet: MDPI AG 2021-10-01
Serier:Remote Sensing
Fag:
aerial image generation
satellite image generation
generative adversarial network
deep learning
structure map
style vector
Online adgang:https://www.mdpi.com/2072-4292/13/19/3984

Internet

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

Lignende værker