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arXiv · 1803.05482

Targeted change detection in remote sensing images

Vladimir Ignatiev·Alexey Trekin·Viktor Lobachev·Georgy Potapov·Evgeny Burnaev
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Abstract

Recent developments in the remote sensing systems and image processing made it possible to propose a new method of the object classification and detection of the specific changes in the series of satellite Earth images (so called targeted change detection). In this paper we propose a formal problem statement that allows to use effectively the deep learning approach to analyze time-dependent series of remote sensing images. We also introduce a new framework for the development of deep learning models for targeted change detection and demonstrate some cases of business applications it can be used for.

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Vladimir Ignatiev, Alexey Trekin, Viktor Lobachev, Georgy Potapov, Evgeny Burnaev. 2018-03-14. Targeted change detection in remote sensing images. https://arxiv.org/abs/1803.05482

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