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2012.05795
Cited By
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
7 December 2020
S. Salcedo-Sanz
Pedram Ghamisi
M. Piles
M. Werner
L. Cuadra
Á. Moreno-Martínez
E. Izquierdo-Verdiguier
Jordi Munoz-Marí
Amir H. Mosavi
G. Camps-Valls
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Papers citing
"Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources"
19 / 19 papers shown
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Martha Arbayani Zaidan
Naser Hossein Motlagh
Petteri Nurmi
Tareq Hussein
Markku Kulmala
Tuukka Petäjä
Sasu Tarkoma
AI4CE
268
2
0
19 Jun 2025
Rainy: Unlocking Satellite Calibration for Deep Learning in Precipitation
Zhenyu Yu
Hanqing Chen
Mohd Yamani Idna Idris
Pei Wang
261
6
0
15 Apr 2025
SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Sachin Verma
Frank Lindseth
Gabriel Kiss
272
1
0
11 Mar 2025
STARS: Sensor-agnostic Transformer Architecture for Remote Sensing
Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2024
Ethan King
Jaime Rodriguez
Diego Llanes
Timothy J. Doster
Tegan H. Emerson
James Koch
183
2
0
08 Nov 2024
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN
Isprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2024
Hao Li
Fabian Deuser
Wenping Yina
Xuanshu Luo
Paul Walther
Gengchen Mai
Wei Huang
Martin Werner
318
27
0
13 Aug 2024
Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching
V. Tran
Asanka G. Perera
Matthew A. Garratt
Kathryn E. Kasmarik
S. Anavatti
226
3
0
01 Jul 2024
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning
Farhad Pourkamali-Anaraki
Jamal F. Husseini
Scott E. Stapleton
UD
292
7
0
21 Feb 2024
Implicit neural representation for change detection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Peter Naylor
Diego Di Carlo
Arianna Traviglia
Makoto Yamada
M. Fiorucci
3DPC
227
1
0
28 Jul 2023
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
V. Marsocci
Nicolas Gonthier
A. Garioud
Simone Scardapane
Clement Mallet
239
17
0
16 Apr 2023
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022
Francisco Mena
Diego Arenas
Marlon Nuske
Andreas Dengel
251
14
0
20 Dec 2022
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques
D. Fister
Jorge Pérez-Aracil
César Peláez-Rodríguez
Javier Del Ser
S. Salcedo-Sanz
203
2
0
29 Sep 2022
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2022
Jun Yue
Leyuan Fang
Pedram Ghamisi
Weiying Xie
Jun Li
Jocelyn Chanussot
Antonio J. Plaza
195
57
0
18 Apr 2022
Comparative analysis of machine learning and numerical modeling for combined heat transfer in Polymethylmethacrylate
Mahsa Dehghan Manshadi
Nima Alafchi
Alireza Taat
M. Mousavi
Amir H. Mosavi
194
5
0
12 Apr 2022
Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit
Engineering Applications of Computational Fluid Mechanics (EACFM), 2022
Weibin Chen
Danial Sharifrazi
Guoxi Liang
Shahab S. Band
K. Chau
Amir H. Mosavi
220
49
0
12 Apr 2022
Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
Engineering Applications of Computational Fluid Mechanics (EACFM), 2022
Guodao Zhang
Shahab S. Band
S. Ardabili
K. Chau
Amir H. Mosavi
223
12
0
23 Feb 2022
Deep Learning and Earth Observation to Support the Sustainable Development Goals
Claudio Persello
Jan Dirk Wegner
Ronny Hansch
D. Tuia
Pedram Ghamisi
M. Koeva
Gustau Camps-Valls
267
5
0
21 Dec 2021
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
D. Svendsen
M. Piles
Jordi Munoz-Marí
D. Luengo
Luca Martino
Gustau Camps-Valls
201
19
0
16 Apr 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2021
D. Tuia
R. Roscher
Jan Dirk Wegner
Nathan Jacobs
Xiaoxiang Zhu
Gustau Camps-Valls
AI4CE
304
82
0
11 Apr 2021
Will Artificial Intelligence supersede Earth System and Climate Models?
Nature Machine Intelligence (Nat. Mach. Intell.), 2021
C. Irrgang
Niklas Boers
Maike Sonnewald
E. Barnes
C. Kadow
J. Staneva
J. Saynisch‐Wagner
AI4Cl
AI4CE
340
241
0
22 Jan 2021
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