Dmitrii G. Shadrin

According to our database, Dmitrii G. Shadrin authored at least 28 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Flood Extent and Volume Estimation Using Remote Sensing Data.

Georgii Popandopulo, Svetlana Illarionova, Dmitrii Shadrin, Ksenia Evteeva, Nazar Sotiriadi, Evgeny Burnaev

Remote. Sens., September, 2023

Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples.

Nikita Stasenko, Islomjon Shukhratov, Maxim Savinov, Dmitrii Shadrin, Andrey Somov

Entropy, July, 2023

Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery.

Svetlana Illarionova, Dmitrii Shadrin, Islomjon Shukhratov, Ksenia Evteeva, Georgii Popandopulo, Nazar Sotiriadi, Ivan V. Oseledets, Evgeny Burnaev

Remote. Sens., May, 2023

Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels.

Islombek Mirpulatov, Svetlana Illarionova, Dmitrii Shadrin, Evgeny Burnaev

IEEE Access, 2023

Apple Tree Health Recognition Through the Application of Transfer Learning for UAV Imagery.

Liubov Dolgaia, Svetlana Illarionova, Sergey Nesteruk, Ivan Krivolapov, Anna Baldycheva, Andrey Somov, Dmitrii Shadrin

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022

A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks.

Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan V. Oseledets, Evgeny Burnaev

Remote. Sens., 2022

Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale.

Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets

Remote. Sens., 2022

Computer vision-based platform for apple leaves segmentation in field conditions to support digital phenotyping.

Anastasia Uryasheva, Aleksandra Kalashnikova, Dmitrii Shadrin, Ksenia Evteeva, Evgeny Moskovtsev, Nikita Rodichenko

Comput. Electron. Agric., 2022

XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation.

Sergey Nesteruk, Svetlana Illarionova, Timur Akhtyamov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Ivan V. Oseledets

IEEE Access, 2022

Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks.

Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets

IEEE Access, 2022

2021

Real-Time Detection of Hogweed: UAV Platform Empowered by Deep Learning.

Alexander Menshchikov, Dmitrii Shadrin, Viktor Prutyanov, Daniil Lopatkin, Sergey Sosnin, Evgeny V. Tsykunov, Evgeny Iakovlev, Andrey Somov

IEEE Trans. Computers, 2021

Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks.

Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets

Sensors, 2021

MixChannel: Advanced Augmentation for Multispectral Satellite Images.

Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Maria Pukalchik, Ivan V. Oseledets

Remote. Sens., 2021

Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation.

Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets

CoRR, 2021

Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case.

Sergey Nesteruk, Dmitrii Shadrin, Mariia Pukalchik

CoRR, 2021

Apple Trees Diseases Detection Through Computer Vision in Embedded Systems.

Denis Logashov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Anastasia Uryasheva, Hari Prabhat Gupta, Nikita Rodichenko

Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

Improving of Action Localization in Videos Using the Novel Feature Extraction.

Galina Burdukovskaya, Grigory V. Ovchinnikov, Maxim V. Fedorov, Dmitrii Shadrin

Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study.

Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Deep learning techniques for enhancement of weeds growth classification.

Dmitrii Vypirailenko, Elizaveta Kiseleva, Dmitrii Shadrin, Mariia Pukalchik

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples.

Nikita Stasenko, Elizaveta Chernova, Dmitrii Shadrin, Grigory V. Ovchinnikov, Ivan Krivolapov, Mariia Pukalchik

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020

Enabling Precision Agriculture Through Embedded Sensing With Artificial Intelligence.

Dmitrii G. Shadrin, Alexander Menshchikov, Andrey Somov, Gerhild Bornemann, Jens Hauslage, Maxim V. Fedorov

IEEE Trans. Instrum. Meas., 2020

Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases.

Dmitrii Shadrin, Mariia Pukalchik, Anastasia Uryasheva, Evgeny V. Tsykunov, Grigoriy A. Yashin, Nikita Rodichenko, Dzmitry Tsetserukou

CoRR, 2020

Plant Growth Prediction through Intelligent Embedded Sensing.

Sergey Nesteruk, Dmitrii Shadrin, Vladislav Kovalenko, Antonio Jose Rodríguez-Sánchez, Andrey Somov

Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

Kalman Filtering for Accurate and Fast Plant Growth Dynamics Assessment.

Dmitrii Shadrin, Tatiana Podladchikova, Grigory V. Ovchinnikov, Artem L. Pavlov, Mariia Pukalchik, Andrey Somov

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019

System Identification - Soilless Growth of Tomatoes.

Dmitrii G. Shadrin, Artem Chashchin, Grigory V. Ovchinnikov, Andrey Somov

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018

Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control.

Andrey Somov, Dmitrii G. Shadrin, Ilia Fastovets, Artyom Nikitin, Sergey A. Matveev, Ivan V. Oseledets, Oleksii Hrinchuk

IEEE Pervasive Comput., 2018

Pervasive agriculture: Measuring and predicting plant growth using statistics and 2D/3D imaging.

Dmitrii G. Shadrin, Andrey Somov, Tatiana Podladchikova, Rupert Gerzer

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions.

Dmitrii G. Shadrin, Victor Kulikov, Maxim V. Fedorov

Proceedings of the British Machine Vision Conference 2018, 2018