CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

We present a method for change detection in images using Conditional Adversarial Network approach. The original network architecture based on pix2pix is proposed and evaluated for difference map creation. The paper address three types of experiments: change detection in synthetic images without obje...

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Veröffentlicht in:International archives of the photogrammetry, remote sensing and spatial information sciences. remote sensing and spatial information sciences., 2018-05, Vol.XLII-2, p.565-571
Hauptverfasser: Lebedev, M. A., Vizilter, Y. V., Vygolov, O. V., Knyaz, V. A., Rubis, A. Y.
Format: Artikel
Sprache:eng
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Zusammenfassung:We present a method for change detection in images using Conditional Adversarial Network approach. The original network architecture based on pix2pix is proposed and evaluated for difference map creation. The paper address three types of experiments: change detection in synthetic images without objects relative shift, change detection in synthetic images with small relative shift of objects, and change detection in real season-varying remote sensing images.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLII-2-565-2018