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...

全面介紹

書目詳細資料
Main Authors: Javier Marín, Sergio Escalera
格式: Article
語言:English
出版: MDPI AG 2021-10-01
叢編:Remote Sensing
主題:
aerial image generation
satellite image generation
generative adversarial network
deep learning
structure map
style vector
在線閱讀:https://www.mdpi.com/2072-4292/13/19/3984

因特網

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

相似書籍