Deep Learning and Earth Observation to Support the Sustainable
Development Goals

Deep Learning and Earth Observation to Support the Sustainable Development Goals

21 December 2021

Claudio Persello

Jan Dirk Wegner

Gustau Camps-Valls

Papers citing "Deep Learning and Earth Observation to Support the Sustainable Development Goals"

5 / 5 papers shown

Title
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources 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 29 176 0 07 Dec 2020
Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data S. Marvaniya Umamaheswari Devi J. Hazra Shashank Mujumdar Nitin Gupta 51 13 0 05 May 2020
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning B. Kellenberger Diego Marcos D. Tuia 24 261 0 29 Jun 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,595 0 02 Nov 2015