ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.00894
  4. Cited By
Infrastructure Quality Assessment in Africa using Satellite Imagery and
  Deep Learning

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning

3 June 2018
Barak Oshri
A. Hu
P. Adelson
Xiao Chen
P. Dupas
Jeremy Weinstein
Marshall Burke
David B. Lobell
Stefano Ermon
ArXiv (abs)PDFHTML

Papers citing "Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning"

21 / 21 papers shown
Title
Tracking Progress Towards Sustainable Development Goal 6 Using Satellite Imagery
Tracking Progress Towards Sustainable Development Goal 6 Using Satellite Imagery
Othmane Echchabi
Nizar Talty
Josh Manto
Aya Lahlou
Ka Leung Lam
104
0
0
28 Nov 2024
Classifying Bicycle Infrastructure Using On-Bike Street-Level Images
Classifying Bicycle Infrastructure Using On-Bike Street-Level Images
Kal Backman
Ben Beck
Dana Kulić
36
0
0
24 Oct 2024
AI for Anticipatory Action: Moving Beyond Climate Forecasting
AI for Anticipatory Action: Moving Beyond Climate Forecasting
Benjamin Q. Huynh
M. Kiang
AI4CE
57
0
0
28 Jul 2023
Transfer Learning with Pretrained Remote Sensing Transformers
Transfer Learning with Pretrained Remote Sensing Transformers
A. Fuller
K. Millard
J.R. Green
65
11
0
28 Sep 2022
CI-dataset and DetDSCI methodology for detecting too small and too large
  critical infrastructures in satellite images: Airports and electrical
  substations as case study
CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study
Francisco Pérez-Hernández
José Rodríguez-Ortega
Y. Benhammou
Francisco Herrera
Siham Tabik
36
5
0
25 May 2021
Weight Initialization Techniques for Deep Learning Algorithms in Remote
  Sensing: Recent Trends and Future Perspectives
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives
W. Boulila
Maha Driss
Mohamed Al-Sarem
Faisal Saeed
M. Krichen
103
31
0
13 Feb 2021
Deep-learning coupled with novel classification method to classify the
  urban environment of the developing world
Deep-learning coupled with novel classification method to classify the urban environment of the developing world
Q. Cheng
A. K. M. Mahbubur Rahman
Anis Sarker
Siddik Nayem
Ovi Paul
A. Ali
M. A. Amin
Ryosuke Shibasaki
M. Zaber
33
2
0
25 Nov 2020
Wheat Crop Yield Prediction Using Deep LSTM Model
Wheat Crop Yield Prediction Using Deep LSTM Model
Sagarika Sharma
Sujit Rai
N. C. Krishnan
55
27
0
03 Nov 2020
Generative Autoregressive Ensembles for Satellite Imagery Manipulation
  Detection
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection
D. M. Montserrat
János Horváth
S. Yarlagadda
Fengqing Zhu
Edward J. Delp
59
15
0
08 Oct 2020
Using satellite imagery to understand and promote sustainable
  development
Using satellite imagery to understand and promote sustainable development
Marshall Burke
Anne Driscoll
David B. Lobell
Stefano Ermon
74
324
0
23 Sep 2020
Object Recognition for Economic Development from Daytime Satellite
  Imagery
Object Recognition for Economic Development from Daytime Satellite Imagery
Klaus Ackermann
A. Chernikov
Nandini Anantharama
Miethy Zaman
P. Raschky
8
2
0
11 Sep 2020
Road Mapping in Low Data Environments with OpenStreetMap
Road Mapping in Low Data Environments with OpenStreetMap
John Kamalu
Benjamin Choi
8
1
0
14 Jun 2020
Effective Data Fusion with Generalized Vegetation Index: Evidence from
  Land Cover Segmentation in Agriculture
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture
Hao Sheng
Xiao Chen
Jingyi Su
Ram Rajagopal
Andrew Y. Ng
83
32
0
07 May 2020
Deep Kernels with Probabilistic Embeddings for Small-Data Learning
Deep Kernels with Probabilistic Embeddings for Small-Data Learning
Ankur Mallick
Chaitanya Dwivedi
B. Kailkhura
Gauri Joshi
T. Y. Han
BDLUQCV
34
8
0
13 Oct 2019
Apache Spark Accelerated Deep Learning Inference for Large Scale
  Satellite Image Analytics
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics
D. Lunga
Jonathan Gerrand
Lexie Yang
Chris Layton
R. Stewart
54
34
0
08 Aug 2019
Tackling Climate Change with Machine Learning
Tackling Climate Change with Machine Learning
David Rolnick
P. Donti
L. Kaack
K. Kochanski
Alexandre Lacoste
...
Demis Hassabis
John C. Platt
F. Creutzig
J. Chayes
Yoshua Bengio
AI4ClAI4CE
106
812
0
10 Jun 2019
Predicting Economic Development using Geolocated Wikipedia Articles
Predicting Economic Development using Geolocated Wikipedia Articles
Evan Sheehan
Chenlin Meng
M. Tan
Burak Uzkent
Neal Jean
David B. Lobell
Marshall Burke
Stefano Ermon
81
78
0
05 May 2019
Distributed generation of privacy preserving data with user
  customization
Distributed generation of privacy preserving data with user customization
Xiao Chen
Thomas Navidi
Stefano Ermon
Ram Rajagopal
61
11
0
20 Apr 2019
Understanding Compressive Adversarial Privacy
Understanding Compressive Adversarial Privacy
Xiao Chen
Peter Kairouz
Ram Rajagopal
46
12
0
21 Sep 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by
  Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Neal Jean
Sang Michael Xie
Stefano Ermon
BDLSSL
75
76
0
26 May 2018
Tile2Vec: Unsupervised representation learning for spatially distributed
  data
Tile2Vec: Unsupervised representation learning for spatially distributed data
Neal Jean
Sherrie Wang
Anshul Samar
G. Azzari
David B. Lobell
Stefano Ermon
SSL
88
200
0
08 May 2018
1