Aerial Imagery Feature Engineering Using Bidirectional Generative Adversarial Networks: A Case Study of the Pilica River Region, Poland

Aerial Imagery Feature Engineering Using Bidirectional Generative Adversarial Networks: A Case Study of the Pilica River Region, Poland

Generative adversarial networks (GANs) are a type of neural network that are characterized by their unique construction and training process. Utilizing the concept of the latent space and exploiting the results of a duel between different GAN components opens up interesting opportunities for compute...

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Bibliographic Details
Main Authors:	Maciej Adamiak, Krzysztof Będkowski, Anna Majchrowska
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Remote Sensing
Subjects:	machine learning generative adversarial networks feature engineering orthophoto unsupervised segmentation
Online Access:	https://www.mdpi.com/2072-4292/13/2/306

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