ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.00185
  4. Cited By
Utilizing Satellite Imagery Datasets and Machine Learning Data Models to
  Evaluate Infrastructure Change in Undeveloped Regions

Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions

1 September 2020
Kyle McCullough
Andrew Feng
Meida Chen
R. McAlinden
ArXiv (abs)PDFHTML

Papers citing "Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions"

2 / 2 papers shown
IDU: Incremental Dynamic Update of Existing 3D Virtual Environments with New Imagery Data
IDU: Incremental Dynamic Update of Existing 3D Virtual Environments with New Imagery Data
Meida Chen
Luis Leal
Yue Hu
Rong Liu
Butian Xiong
Andrew Feng
Jiuyi Xu
Yangming Shi
104
0
0
25 Aug 2025
Exploring Seasonal Variability in the Context of Neural Radiance Fields
  for 3D Reconstruction on Satellite Imagery
Exploring Seasonal Variability in the Context of Neural Radiance Fields for 3D Reconstruction on Satellite ImageryGerman Conference on Pattern Recognition (DAGM), 2024
Liv Kåreborn
Erica Ingerstad
Amanda Berg
Justus Karlsson
Leif Haglund
187
1
0
05 Nov 2024
1
Page 1 of 1