Work

Recognition of Forest Damage from Sentinel-2 Satellite Images Using U-Net, RandomForest and XGBoost

Year: 2024

Type: conference-paper

Source: International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

DOI: 10.1109/reepe60449.2024.10479810

Authors: N.S. Podoprigorova, F.A. Safonov, S.S. Podoprigorova, A.V. Tarasov, A.N. Shikhov

Institutions: Bauman Moscow State Technical University, Perm State University

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: closed

OpenAlex ID: W4394597294

FWCI: 0.42

Cites: 25

Cited by: 3

Related to: 10