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

Maged, Mahmoud Marghany and Genderen, J. V. (2014) Three-dimensional slum urban reconstruction in Envisat and Google Earth Egypt. In: 8th International Symposium of the Digital Earth, ISDE 2014, 26-29 Aug,2013, Kuching, Sarawak, Malaysia.

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Official URL: https://dx.doi.org/10.1088/1755-1315/18/1/012166

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:housing, interpolation
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Geoinformation and Real Estate
ID Code:63085
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:14 Jun 2017 03:11
Last Modified:14 Jun 2017 03:11

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