Machine Learning Information Fusion in Earth Observation: A
Comprehensive Review of Methods, Applications and Data Sources

Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources

7 December 2020

S. Salcedo-Sanz

Á. Moreno-Martínez

E. Izquierdo-Verdiguier

Jordi Munoz-Marí

G. Camps-Valls

Papers citing "Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources"

8 / 8 papers shown

Title
Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes L. Pipia Jordi Munoz-Marí E. Amin Santiago Belda Gustau Camps-Valls J. Verrelst 28 81 0 05 Dec 2020
Deep Learning for Hyperspectral Image Classification: An Overview Shutao Li Weiwei Song Leyuan Fang Yushi Chen Pedram Ghamisi J. Benediktsson 56 1,259 0 26 Oct 2019
The FLUXCOM ensemble of global land-atmosphere energy fluxes M. Jung Sujan Koirala U. Weber K. Ichii Fabian Gans Gustau-Camps-Valls D. Papale C. Schwalm G. Tramontana Markus Reichstein AI4Cl AI4CE 25 522 0 11 Dec 2018
Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors Zhiwei Li Huanfeng Shen Qing Cheng Yuhao Liu S. You Zongyi He 49 230 0 13 Oct 2018
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community John E. Ball Derek T. Anderson Chee Seng Chan 51 521 0 01 Sep 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 220 9,958 0 15 Jul 2016
A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding Peilu Wang Yao Qian Frank Soong Lei He Zhao Hai 42 99 0 01 Nov 2015
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 207 925 0 30 Jun 2011