|
ИСТИНА |
Войти в систему Регистрация |
ИСТИНА ИНХС РАН |
||
Targeted change detection in remote sensing imagesстатья
- Авторы: Ignatiev Vladimir, Trekin Alexey, Lobachev Viktor, Potapov Georgy, Burnaev Evgeny
- Сборник: Eleventh International Conference on Machine Vision (ICMV 2018)
- Том: 11041
- Год издания: 2019
- Издательство: Society of Photo-Optical Instrumentation Engineers
- Местоположение издательства: United States
- DOI: 10.1117/12.2523141
- Аннотация: 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.
- Добавил в систему: Лобачев Виктор Анатольевич