The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLII-2
https://doi.org/10.5194/isprs-archives-XLII-2-565-2018
https://doi.org/10.5194/isprs-archives-XLII-2-565-2018
30 May 2018
 | 30 May 2018

CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

M. A. Lebedev, Y. V. Vizilter, O. V. Vygolov, V. A. Knyaz, and A. Y. Rubis

Keywords: Change Detection, Database, Deep Convolutional Neural Networks, Generative Adversarial Networks

Abstract. 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.