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Titel:

Artificial generation of big data for improving image classification: A generative adversarial network approach on SAR data

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Marmanis D, Yao W, Adam F, Datcu M, Reinartz P, Schindler K, Wegner JD, Stilla U
Abstract:
Very High Spatial Resolution (VHSR) large-scale SAR image databases are still an unresolved issue in the Remote Sensing field. In this work, we propose such a dataset and use it to explore patch-based classification in urban and periurban areas, considering 7 distinct semantic classes. In this context, we investigate the accuracy of large CNN classification models and pre-trained networks for SAR imaging systems. Furthermore, we propose a Generative Adversarial Network (GAN) for SAR image genera...     »
Zeitschriftentitel:
Proc. of the 2017 conference on Big Data from Space (BiDS'17)
Jahr:
2017
Volltext / DOI:
doi:10.2760/383579
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