التفاصيل البيبلوغرافية
| العنوان: |
A critical review on the state-of-the-art and future prospects of Machine Learning for Earth Observation Operations |
| المؤلفون: |
Pablo Miralles, Kathiravan Thangavel, Antonio Fulvio Scannapieco, Nitya Jagadam, Prerna Baranwal, Bhavin Faldu, Ruchita Abhang, Sahil Bhatia, Sebastien Bonnart, Ishita Bhatnagar, Beenish Batul, Pallavi Prasad, Héctor Ortega-González, Harrish Joseph, Harshal More, Sondes Morchedi, Aman Kumar Panda, Marco Zaccaria Di Fraia, Daniel Wischert, Daria Stepanova |
| سنة النشر: |
2023 |
| مصطلحات موضوعية: |
Astrionics, Atmospheric Science, Neural Network, Aerospace Engineering, Astronomy and Astrophysics, Machine Learning, Remote Sensing, Artificial Intelligence, Earth Observation, Edge Computing, State-of-the-art, Geophysics, Space and Planetary Science, General Earth and Planetary Sciences |
| اللغة: |
English |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6a1958f58d2a070e2a8ad7e0447b5de
https://hdl.handle.net/11573/1672108 |
| حقوق: |
EMBARGO |
| رقم الأكسشن: |
edsair.doi.dedup.....a6a1958f58d2a070e2a8ad7e0447b5de |
| قاعدة البيانات: |
OpenAIRE |
