IMPROVING SEMANTIC SEGMENTATION OF HIGH-RESOLUTION REMOTE SENSING IMAGES USING WASSERSTEIN GENERATIVE ADVERSARIAL NETWORK

IMPROVING SEMANTIC SEGMENTATION OF HIGH-RESOLUTION REMOTE SENSING IMAGES USING WASSERSTEIN GENERATIVE ADVERSARIAL NETWORK

Semantic segmentation of remote sensing images with high spatial resolution has many applications in a wide range of problems in this field. In recent years, the use of advanced techniques based on fully convolutional neural networks have achieved high and impressive accuracies. However, the labels...

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Bibliographic Details
Main Authors:	H. R. Hosseinpour, F. Samadzadegan, F. Dadrass Javan, S. Motayyeb
Format:	Article
Language:	English
Published:	Copernicus Publications 2023-01-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W2-2022/45/2023/isprs-archives-XLVIII-4-W2-2022-45-2023.pdf

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