GEOCLASS-image – a versatile machine learning environment for ice-surface classification from high-resolution image data
GEOCLASS-image is an open source cyberinfrastructure (CI) for automated classification of spatial surface structures based on high-resolution image data, consisting of a data-driven and physically informed neural network (NN) system and a data analysis tool for, currently, submeter resolution satell...
Saved in:
Main Authors: | Silas Twickler, Ute Herzfeld, Thomas Trantow |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-08-01
|
Series: | Frontiers in Earth Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2025.1572982/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study on probabilistic neural network for extracting remote sensing information of rice planting area
by: YANG Xiao-hua, et al.
Published: (2007-11-01) -
HETMCL: High-Frequency Enhancement Transformer and Multi-Layer Context Learning Network for Remote Sensing Scene Classification
by: Haiyan Xu, et al.
Published: (2025-06-01) -
AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach
by: Hicham El hadraoui, et al.
Published: (2025-09-01) -
Impact of the Radar Image Resolution of Military Objects on the Accuracy of their Classification by a Deep Convolutional Neural Network
by: I. F. Kupryashkin
Published: (2022-02-01) -
MSALNet: a multi-scale adaptive learning network for high-resolution remote sensing scene classification
by: Chao Yang, et al.
Published: (2025-06-01)