Three-dimensional slum urban reconstruction in Envisat and Google Earth Egypt

This study aims to aim to investigate the capability of ENVISAT ASAR satellite and Google Earth data for three-dimensional (3-D) slum urban reconstruction in developed country such as Egypt. The main objective of this work is to utilize 3-D automatic detection algorithm for urban slum in ENVISAT ASA...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2014-01, Vol.18 (1), p.12166-5
Main Authors: Marghany, M, Genderen, J v
Format: Article
Language:English
Subjects:
Algorithms
Chaos theory
Earth
Fuzzy
Fuzzy logic
Fuzzy set theory
Ghettos
Image acquisition
Image reconstruction
Reconstruction
Roads
Satellites
Slums
Three dimensional
Urban areas
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study aims to aim to investigate the capability of ENVISAT ASAR satellite and Google Earth data for three-dimensional (3-D) slum urban reconstruction in developed country such as Egypt. The main objective of this work is to utilize 3-D automatic detection algorithm for urban slum in ENVISAT ASAR and Google Erath images were acquired in Cairo, Egypt using Fuzzy B-spline algorithm. The results show that fuzzy algorithm is the best indicator for chaotic urban slum as it can discriminate them from its surrounding environment. The combination of Fuzzy and B-spline then used to reconstruct 3-D of urban slam. The results show that urban slums, road network, and infrastructures are perfectly discriminated. It can therefore be concluded that fuzzy algorithm is an appropriate algorithm for chaotic urban slum automatic detection in ENVSIAT ASAR and Google Earth data.
ISSN:1755-1315
1755-1307
1755-1315
DOI:10.1088/1755-1315/18/1/012166