E. Dmitriev

发表

Classification of the forest cover of Tver oblast using hyperspectral airborne imagery

E. Dmitriev, 2014, Izvestiya, Atmospheric and Oceanic Physics.

Models of Pattern Recognition and Forest State Estimation Based on Hyperspectral Remote Sensing Data

V. V. Kozoderov, E. Dmitriev, 2018, Izvestiya, Atmospheric and Oceanic Physics.

Improved Estimates of Biomass Expansion Factors for Russian Forests

F. Kraxner, A. Shvidenko, L. See, 2018, Forests.

Automated Classification of Regional Meteorological Events in a Coastal Area Using In Situ Measurements

H. Delbarre, E. Dmitriev, A. Sokolov, 2020 .

Parameterization of light absorption by components of seawater in optically complex coastal waters of the Crimea Peninsula (Black Sea).

T. Churilova, M. Chami, E. Dmitriev, 2009, Applied optics.

Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans

P. Augustin, H. Delbarre, E. Dmitriev, 2020, Atmospheric Measurement Techniques.

Classification and Assessment of the State of Mixed Forests from Very High Spatial Resolution Airborne Images

E. Dmitriev, A. Sokolov, V. Kozub, 2019, Lesnoy Zhurnal (Forestry Journal).

Segmentation of Natural and Anthropogenic Objects by Panchromatic Satellite Images Using Statistical Textural Features

E. Dmitriev, S. Zotov, T. Kondranin, 2022, Автометрия.

Remote Sensing Methods for the Retrieval of Inventory and Bioproductivity Parameters of Forests Using High Resolution Satellite Images

V. V. Kozoderov, E. Dmitriev, A. Sokolov, 2019, E3S Web of Conferences.

Evaluation of the Species Composition and the Biological Productivity of Forests Based on Remote Sensing Data with High Spatial and Spectral Resolution

V. V. Kozoderov, E. Dmitriev, P. Melnik, 2018, Izvestiya, Atmospheric and Oceanic Physics.

Peculiarities of use of ECOC and AdaBoost based classifiers for thematic processing of hyperspectral data

V. V. Kozoderov, V. D. Egorov, E. V. Dmitriev, 2017, Remote Sensing.

Individual Tree Crown Delineation for the Species Classification and Assessment of Vital Status of Forest Stands from UAV Images

Margarita Georgieva, Stelian Dimitrov, Yousif Hamad, 2021, Drones.

Platinum promoting effects in Pt/Ga zeolite Catalysts of lower alkane aromatization. II. The catalytic properties in n-butane aromatization, formation of the Catalytically active sites and reaction mechanism

E. Dmitriev, O. Tkachenko, E. S. Shpiro, 1994 .

Temporal error estimate for statistical downscaling regional meteorological models

E. Dmitriev, G. Khomenko, V. Rogutov, 2008 .

Mapping forest and peat fires using hyperspectral airborne remote-sensing data

V. V. Kozoderov, Timofei V. Kondranin, V. P. Kamentsev, 2012, Izvestiya, Atmospheric and Oceanic Physics.

Possible causes of the underestimation of paleoclimate low-frequency variability by statistical methods

E. Dmitriev, A. I. Chavro, 2006 .

Testing different classification methods in airborne hyperspectral imagery processing.

Vladimir V Kozoderov, Egor V Dmitriev, V. V. Kozoderov, 2016, Optics express.

Cognitive technologies for processing optical images of high spatial and spectral resolution

V. V. Kozoderov, E. Dmitriev, V. Kamentsev, 2014, Atmospheric and Oceanic Optics.

Retrieval of forest stand attributes using optical airborne remote sensing data.

Vladimir V Kozoderov, Timofei V Kondranin, Egor V Dmitriev, 2014, Optics express.

Improved technique for retrieval of forest parameters from hyperspectral remote sensing data.

Vladimir V Kozoderov, Egor V Dmitriev, Anton A Sokolov, 2015, Optics express.

Recognition of natural and man-made objects in airborne hyperspectral images

V. V. Kozoderov, Timofei V. Kondranin, E. V. Dmitriev, 2014, Izvestiya, Atmospheric and Oceanic Physics.

Bayesian classifier applications of airborne hyperspectral imagery processing for forested areas

V. V. Kozoderov, Timofei V. Kondranin, E. V. Dmitriev, 2015 .

Neural network texture segmentation of satellite images of woodlands using the U-net model

E. Dmitriev, A. Safonova, A.E. Alyokhina, 2021, Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021.

Remote sensing of soils and vegetation: quantitative parameters retrieval using pattern-recognition techniques and forest stand structure assessment

V. V. Kozoderov, E. V. Dmitriev, E. Dmitriev, 2011 .

Simulation of local atmospheric dynamics in the coastal region of Dunkerque

P. Augustin, H. Delbarre, E. Dmitriev, 2013, Russian Meteorology and Hydrology.

Validation of Information Products of Airborne Hyperspectral Imagery Processing

V. V. Kozoderov, E. V. Dmitriev, V. P. Kamentsev, 2019, Izvestiya, Atmospheric and Oceanic Physics.

System for processing of airborne images of forest ecosystems using high spectral and spatial resolution data

V. V. Kozoderov, V. P. Kamentsev, E. V. Dmitriev, 2014, Izvestiya, Atmospheric and Oceanic Physics.

Optimal deployment and principles of tracing for the distributing lines of pumping plants in the mountain terrain

E. Dmitriev, A. Kalach, E. Cherepanov, 2021 .