Change Detection in High Resolution Satellite Images Using an Ensemble of Convolutional Neural Networks

Kyungsun Lim, Dongkwon Jin, Chang-Su Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

In this paper, we propose a novel change detection algorithm for high resolution satellite images using convolutional neural networks (CNNs), which does not require any preprocessing, such as ortho-rectification and classification. When analyzing multi-temporal satellite images, it is crucial to distinguish viewpoint or color variations of an identical object from actual changes. Especially in urban areas, the registration difficulty due to high-rise buildings makes conventional change detection techniques unreliable, if they are not combined with preprocessing schemes using digital surface models or multi-spectral information. We design three encoder-decoder-structured CNNs, which yield change maps from an input pair of RGB satellite images. For the supervised learning of these CNNs, we construct a large fully-labeled dataset using Google Earth images taken in different years and seasons. Experimental results demonstrate that the trained CNNs detect actual changes successfully, even though image pairs are neither perfectly registered nor color-corrected. Furthermore, an ensemble of the three CNNs provides excellent performance, outperforming each individual CNN.

Original languageEnglish
Title of host publication2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages509-515
Number of pages7
ISBN (Electronic)9789881476852
DOIs
Publication statusPublished - 2019 Mar 4
Event10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, United States
Duration: 2018 Nov 122018 Nov 15

Publication series

Name2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

Conference

Conference10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
CountryUnited States
CityHonolulu
Period18/11/1218/11/15

ASJC Scopus subject areas

  • Information Systems

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    Lim, K., Jin, D., & Kim, C-S. (2019). Change Detection in High Resolution Satellite Images Using an Ensemble of Convolutional Neural Networks. In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings (pp. 509-515). [8659603] (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APSIPA.2018.8659603