Abstract
Abstract. The problem of overcrowding of mega cities has been bolded in recent years. To meet the need of housing this increased population, which is of great importance in mega cities, a huge number of buildings are constructed annually. With the ever-increasing trend of building constructions, we are faced with the growing trend of building infractions and illegal buildings (IBs). Acquiring multi-temporal satellite images and using change detection techniques is one of the proper methods of IB monitoring. Using the type of satellite images with different spatial and spectral resolutions has always been an issue in efficient detection of the building changes. In this research, three bi-temporal high-resolution satellite images of IRS-P5, GeoEye-1 and QuickBird sensors acquired from the west of metropolitan area of Tehran, capital of Iran, in addition to city maps and municipality property database were used to detect the under construction buildings with improved performance and accuracy. Furthermore, determining the employed bi-temporal satellite images to provide better performance and accuracy in the case of IB detection is the other purpose of this research. The Kappa coefficients of 70 %, 64 %, and 68 % were obtained for producing change image maps using GeoEye-1, IRS-P5, and QuickBird satellite images, respectively. In addition, the overall accuracies of 100 %, 6 %, and 83 % were achieved for IB detection using the satellite images, respectively. These accuracies substantiate the fact that the GeoEye-1 satellite images had the best performance among the employed images in producing change image map and detecting the IBs.
Highlights
The Illegal Building (IB) detection and monitoring has been in the spotlight in the recent decades due to the increase of construction in mega cities
Three different bi-temporal high resolution satellite images of GeoEye-1, IRS-P5, and QuickBird sensors from a metropolitan part of west of Tehran were used to detect the buildings which are under construction and IBs
Three bi-temporal high resolution satellite images of GeoEye-1, IRS-P5, and QuickBird sensors acquired from the same part of west of Tehran metropolitan area which covers approximately 32.054 hectares located between 516967 E, 517407 E and 3954472.5 N, 3955201 N, UTM3 Zone 39 were used in order to detect the IBs
Summary
The Illegal Building (IB) detection and monitoring has been in the spotlight in the recent decades due to the increase of construction in mega cities. Khalili Moghadam et al (2015) proposed a new pixel-based method of IB detection using the unsupervised K-means clustering technique, the city maps, and the municipal property data base They were able to detect some of the IBs and buildings, which were under construction in the urban area of west of Tehran. Three different bi-temporal high resolution satellite images of GeoEye-1, IRS-P5, and QuickBird sensors from a metropolitan part of west of Tehran were used to detect the buildings which are under construction and IBs. In addition, the city maps at the scale of 1:2000 and an up to date municipal property data base that contains the existing buildings of the study area were used to detect the IBs using a conflation of pixelwise fuzzy XOR1 operator in change detection (Ilsever and Unsalan, 2012) and some GIS analyses.
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