An automatic detection method for high density slums based on regularity pattern of housing using Gabor filter and GINI index

Nursidik Heru Praptono; Pahala Sirait; Mohamad Ivan Fanany; Aniati Murni Arymurthy

doi:10.1109/ICACSIS.2013.6761600

An automatic detection method for high density slums based on regularity pattern of housing using Gabor filter and GINI index

Nursidik Heru Praptono, Pahala Sirait, Mohamad Ivan Fanany, Aniati Murni Arymurthy

Research output: Contribution to conference › Paper › peer-review

7 Citations (Scopus)

Abstract

This paper presents a development of a new approach for detecting slums area, when the density of area is very high. The basic idea of this method is based on regularity pattern of housing. We explore Gabor filter and GLCP based feature extraction to obtain the regularity feature. Then, we employ GINI index decision tree for detection. The images from Google Earth were then used in the experiment to assess our method. We select the slum areas which are defined by the local government, based on the datasheet from Biro Pusat Statistik (BPS) - Indonesia Center Bureau of Statistics as the ground truth. Finally we found that our method can perform automatic detection for area that is a slum or potentially becomes a slum, based on the given satellite image.

Original language	English
Pages	347-351
Number of pages	5
DOIs	https://doi.org/10.1109/ICACSIS.2013.6761600
Publication status	Published - 2013
Event	2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia Duration: 28 Sept 2013 → 29 Sept 2013

Conference

Conference	2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013
Country/Territory	Indonesia
City	Bali
Period	28/09/13 → 29/09/13

Keywords

GINI Index
Gabor Filter
Greylevel Co-occurrence Probability (GLCP)
Slums Detection

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10.1109/ICACSIS.2013.6761600

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Praptono, N. H., Sirait, P., Fanany, M. I., & Arymurthy, A. M. (2013). An automatic detection method for high density slums based on regularity pattern of housing using Gabor filter and GINI index. 347-351. Paper presented at 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013, Bali, Indonesia. https://doi.org/10.1109/ICACSIS.2013.6761600

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title = "An automatic detection method for high density slums based on regularity pattern of housing using Gabor filter and GINI index",

abstract = "This paper presents a development of a new approach for detecting slums area, when the density of area is very high. The basic idea of this method is based on regularity pattern of housing. We explore Gabor filter and GLCP based feature extraction to obtain the regularity feature. Then, we employ GINI index decision tree for detection. The images from Google Earth were then used in the experiment to assess our method. We select the slum areas which are defined by the local government, based on the datasheet from Biro Pusat Statistik (BPS) - Indonesia Center Bureau of Statistics as the ground truth. Finally we found that our method can perform automatic detection for area that is a slum or potentially becomes a slum, based on the given satellite image.",

keywords = "GINI Index, Gabor Filter, Greylevel Co-occurrence Probability (GLCP), Slums Detection",

author = "Praptono, {Nursidik Heru} and Pahala Sirait and Fanany, {Mohamad Ivan} and Arymurthy, {Aniati Murni}",

year = "2013",

doi = "10.1109/ICACSIS.2013.6761600",

language = "English",

pages = "347--351",

note = "2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 ; Conference date: 28-09-2013 Through 29-09-2013",

}

Praptono, NH, Sirait, P, Fanany, MI & Arymurthy, AM 2013, 'An automatic detection method for high density slums based on regularity pattern of housing using Gabor filter and GINI index', Paper presented at 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013, Bali, Indonesia, 28/09/13 - 29/09/13 pp. 347-351. https://doi.org/10.1109/ICACSIS.2013.6761600

An automatic detection method for high density slums based on regularity pattern of housing using Gabor filter and GINI index. / Praptono, Nursidik Heru; Sirait, Pahala; Fanany, Mohamad Ivan et al.
2013. 347-351 Paper presented at 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013, Bali, Indonesia.

Research output: Contribution to conference › Paper › peer-review

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T1 - An automatic detection method for high density slums based on regularity pattern of housing using Gabor filter and GINI index

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AU - Sirait, Pahala

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AU - Arymurthy, Aniati Murni

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AB - This paper presents a development of a new approach for detecting slums area, when the density of area is very high. The basic idea of this method is based on regularity pattern of housing. We explore Gabor filter and GLCP based feature extraction to obtain the regularity feature. Then, we employ GINI index decision tree for detection. The images from Google Earth were then used in the experiment to assess our method. We select the slum areas which are defined by the local government, based on the datasheet from Biro Pusat Statistik (BPS) - Indonesia Center Bureau of Statistics as the ground truth. Finally we found that our method can perform automatic detection for area that is a slum or potentially becomes a slum, based on the given satellite image.

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An automatic detection method for high density slums based on regularity pattern of housing using Gabor filter and GINI index

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