Satellite image segmentation methods for river plume delineation using neural networks

. MSI (.Multispectral Instrument) Sentinel-2 : , . . , 587 . 10 , (VGG16, ResNet50, Xception) (U-Net, DeepLabv3+, FCN), YOLO 11-Seg. , , . , YOLO 11-Seg 0,74. : Random Forest . , 0,78.

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Publication Details

Journal
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
Published
2025-01-01
DOI
https://doi.org/10.21046/2070-7401-2025-22-3-81-94
Primary Topic
Oil Spill Detection and Mitigation
Type
article
Field-Weighted Citation Impact
0.00
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article

Satellite image segmentation methods for river plume delineation using neural networks

N.A. Knyazev, A.N. Yakusheva, M.V. Vrublevsky
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
Oil Spill Detection and Mitigation
article

Satellite image segmentation methods for river plume delineation using neural networks

N.A. Knyazev, A.N. Yakusheva, M.V. Vrublevsky
article en

Abstract

. MSI (.Multispectral Instrument) Sentinel-2 : , . . , 587 . 10 , (VGG16, ResNet50, Xception) (U-Net, DeepLabv3+, FCN), YOLO 11-Seg. , , . , YOLO 11-Seg 0,74. : Random Forest . , 0,78.

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosaVol. 22(3)
Openalex Percentile: Top 89%
Oil Spill Detection and Mitigation
DOIOpen Access PDFOpenAlex
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Satellite image segmentation methods for river plume delineation using neural networks — N.A. Knyazev, A.N. Yakusheva, et al. · Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa (2025) | TGRS Research Map | TGRS