Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland

Creator:
KwaFraRob
Publisher:
Springer Berlin Heidelberg
Host:

Visit

doi.org

Languages

Amharic

Similar

Census data dissemination procedures with GIS Census data dissemination procedures with GIS: the Ethiopian population and housing census of 2007Spatial Aggregation with Respect to a Population DistributionUsing Data-Mining Technique for Census Analysis to Give GeoSpatial Distribution of NigeriaUsing Data-Mining Technique for Census Analysis to Give Geo-Spatial Distribution of NigeriaMapping Nigeria’s Poverty with Satellite Imagery Using Deep Learning: A Comparative Study of Day and Night Light Satellite ImagesDeep Learning for Satellite Image Fusion

Census data dissemination procedures with GIS Census data dissemination procedures with GIS: the Ethiopian population and housing census of 2007

International audience

Spatial Aggregation with Respect to a Population Distribution

Spatial aggregation with respect to a population distribution involves estimating aggregate quantiti

Using Data-Mining Technique for Census Analysis to Give GeoSpatial Distribution of Nigeria

Using Data-Mining Technique for Census Analysis to Give Geo-Spatial Distribution of Nigeria

Mapping Nigeria’s Poverty with Satellite Imagery Using Deep Learning: A Comparative Study of Day and Night Light Satellite Images

Abstract: Poverty mapping plays a crucial role in understanding and addressing socioeconomic dispari

Deep Learning for Satellite Image Fusion

Deep Learning for Satellite Image Fusion

Poster presented at the Deep Learning Indaba 2022 by Tayeb Benzenati