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

8th International Symposium of the Digital Earth

地球科学;计算机科学

Marghany, M.^1 ; Genderen, J.V.^1

Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor Bahru, Malaysia^1

关键词: Automatic Detection;    Automatic detection algorithms;    Cairo , Egypt;    Developed countries;    Fuzzy algorithms;    Google earths;    Surrounding environment;    Threedimensional (3-d);   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012166/pdf
DOI  :  10.1088/1755-1315/18/1/012166

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.