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Head: Kravchenko Oleksiy. Development of crop classification methods on the base of optical and radar satellite data.. (popup.stage: ).
Space Research Institute. № 0216U003050
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Updated: 2025-12-18
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0216U003050,
0115U006556
,
Development of crop classification methods on the base of optical and radar satellite data.
Kravchenko Oleksiy,
12-01-2016
Space Research Institute
Purpose - new methods development for crop classification based on optical and radar satellite images. Services of crop monitoring is based on the obtained classification maps. We proposed universal approach for improving crop classification technique and disseverance crop types. It is based on hierarchical deep learning, analysis of spectral channels of optical and radar satellite images and establishing hidden dependencies. For crop classification we proposed use not only optical but also radar data that have become free since 2015. Training and test data were received from ground measurements and from international Ukraine JECAM polygon. Within the project in 2015 we improved optical and radar crop classification method that based on neural networks by taking into account vector information about fields boundaries. In the result, adding radar data allows improve overall classification map accuracy by 7.3% compare to results based on only optical data. The proposed method of filtration allows to consider annual boundaries changes by dividing parcels into a few fields that allows to increase accuracy of the final product. We obtained crop classification map based on proposed approach and upload it on the geoportal.
Басараб Руслан Михайлович
Колотій Андрій Всеволодович
Компанієнко Ліля
Кравченко Олексій Миколайович
Лавренюк Микола Сергійович
Олійник Тамара Віталіївна
Яйлимов Богдан Ялкапович
Ящук Дар'я Юріївна
2020-04-02
Updated: 2025-12-18
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