The Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution
- Supplementary File 1:
PDF-Document (PDF, 1506 KiB)
Rukhovich, D.I.; Koroleva, P.V.; Rukhovich, D.D.; Kalinina, N.V. The Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution. Remote Sens. 2021, 13, 155. https://doi.org/10.3390/rs13010155
Rukhovich DI, Koroleva PV, Rukhovich DD, Kalinina NV. The Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution. Remote Sensing. 2021; 13(1):155. https://doi.org/10.3390/rs13010155
Chicago/Turabian StyleRukhovich, Dmitry I., Polina V. Koroleva, Danila D. Rukhovich, and Natalia V. Kalinina. 2021. "The Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution" Remote Sensing 13, no. 1: 155. https://doi.org/10.3390/rs13010155