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.

Object‐based classification of residential land use within Accra, Ghana based on QuickBird satellite data

Record type:

paper
Creator:
D. A. C. S.
Publisher:
Inf
Host:

Visit

doi.org

Tasks

computer visionimage classification

Languages

Ga

Similar

Comparison of Object-Based Image Analysis Approaches to Mapping New Buildings in Accra, Ghana Using Multi-Temporal QuickBird Satellite ImageryCode for: Object-Based Peri-Urban Land Use/Cover Classification of Mankweng, South AfricaA Comparison of Object-Based Classifiers for Land Cover Classification of Ankobra River Basin in GhanaAssessment of combining convolutional neural networks and object based image analysis to land cover classification using Sentinel 2 satellite imagery (Tenes region, Algeria)Semi-automated object-based image analysis for peri-urban land use/cover classification using WorldView-3 imagery of Mankweng, South AfricaComparative Assessment of Object-based and Pixel-based Approaches for Crop Cover Classification

Comparison of Object-Based Image Analysis Approaches to Mapping New Buildings in Accra, Ghana Using Multi-Temporal QuickBird Satellite Imagery

The goal of this study was to map and quantify the number of newly constructed buildings in Accra, G

Code for: Object-Based Peri-Urban Land Use/Cover Classification of Mankweng, South Africa

Python and QGIS scripts implementing a sequential CV-FSO-LDA-Otsu feature selection and multi-thresh

A Comparison of Object-Based Classifiers for Land Cover Classification of Ankobra River Basin in Ghana

Remote sensing and GIS techniques on land cover classification using traditional pixel-based classif

Assessment of combining convolutional neural networks and object based image analysis to land cover classification using Sentinel 2 satellite imagery (Tenes region, Algeria)

International audience Abstract. Land cover maps can provide valuable information for

Semi-automated object-based image analysis for peri-urban land use/cover classification using WorldView-3 imagery of Mankweng, South Africa

Abstract Peri-urban landscapes in semi-arid regions exhibit high spatial heterog

Comparative Assessment of Object-based and Pixel-based Approaches for Crop Cover Classification

Introduction/Importance of Study:Accurate crop identification and classification are crucial