An ontology of slums for image-based classification

Computers, Environment and Urban Systems

Volumn 36, Issue 2, 2012, Pages 154-163

  Kohli, Divyani ^a   Sliuzas, Richard ^a   Kerle, Norman ^a   Stein, Alfred ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Classification; Informal settlement; Object oriented image analysis (OOA); Ontology; Slums

Indexed keywords

AUTOMATIC DETECTION; BUILT ENVIRONMENT; DATA COLLECTION METHOD; HIGH VARIABILITY; IMAGE DATA; IMAGE-BASED; IMAGE-BASED CLASSIFICATION; INFORMAL SETTLEMENTS; LOCAL ADAPTATION; OBJECT-ORIENTED IMAGE ANALYSIS; ONTOLOGICAL FRAMEWORKS; PHYSICAL COMPOSITION; SLUMS; STUDY AREAS;

CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; ONTOLOGY; REMOTE SENSING;

HOUSING;

IMAGE ANALYSIS; IMAGE CLASSIFICATION; INFORMAL SETTLEMENT; PARAMETERIZATION; REMOTE SENSING; SPATIAL DISTRIBUTION;

KENYA; KISUMU; NYANZA;

EID: 84858073527     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2011.11.001     Document Type: Article

References (52)

1. Agarwal P. Ontological considerations in GIScience. International Journal of Geographical Information Science 2005, 19(5):501-536.
2. Agouris, P., Stefanidis, A., Bittner, T., Winter, S. (1999). On ontology in image analysis integrated spatial databases (Vol. 1737, pp. 168-191). Berlin: Springer.
3. Angeles, G., Lance, P., Barden-O'Fallon, J., Islam, N., Mahbub, A. Q. M., & Nazem, N. I. (2009). The 2005 census and mapping of slums in Bangladesh: design, select results and application [Article]. International Journal of Health Geographics, 8, 19. doi:3210.1186/1476-072x-8-32.
4. Baud I., Kuffer M., Pfeffer K., Sliuzas R., Karuppannan S. Understanding heterogeneity in metropolitan India: The added value of remote sensing data for analyzing sub-standard residential areas. International Journal of Applied Earth Observation and Geoinformation 2010, 12(5):359-374.
5. Baud I., Pfeffer K., Sridharan N., Nainan N. Matching deprivation mapping to urban governance in three Indian mega-cities. Habitat International 2009, 33(4):365-377.
6. Baud I., Sridharan N., Pfeffer K. Mapping urban poverty for local governance in an Indian mega-city: The case of Delhi. Urban Studies 2008, 45(7):1385-1412. 10.1177/0042098008090679.
7. Belmonte M.V., Pérez-de-la-Cruz J.L., Triguero F. Ontologies and agents for a bus fleet management system. Expert Systems with Applications 2008, 34(2):1351-1365.
8. Benslimane D., Leclercq E., Savonnet M., Terrasse M.N., Yétongnon K. On the definition of generic multi-layered ontologies for urban applications. Computers, Environment and Urban Systems 2000, 24:191-214.
9. Blaschke T. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing 2010, 65:2-16.
10. Chandrasekharan B., Josephson J.R. What are ontologies and why do we need them?. IEEE Intelligent Systems 1999, 20-26.
11. Davis, M. (2007). Planet of slums (Paperback ed.). London; New York: Verso.
12. Dubovyk O., Sliuzas R., Flacke J. Spatio-temporal modelling of informal settlement development in Sancaktepe district, Istanbul, Turkey. ISPRS Journal of Photogrammetry and Remote Sensing 2011, 66(2):235-246. 10.1016/j.isprsjprs.2010.10.002.
13. Ebert A., Kerle N., Stein A. Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and space-borne imagery and GIS data. Natural Hazards 2009, 48(2):275-294.
14. EGM (2008). Expert group meeting on slum identification and mapping. http://www.ciesin.columbia.edu.
15. Fan, Z., Zlatanova, S. (2010). Exploring ontology potential in emergency management. In Paper presented at the conference on geomatics for crisis management Torino, Italy.
16. Fernández López M., Gómez-Pérez A., Sierra J.P., Sierra A.P. Building a chemical ontology using methontology and the ontology design environment. IEEE Intelligent Systems 1999, 14(1):37-46. http://dx.doi.org/10.1109/5254.747904.
17. Fonseca F.T., Egenhofer M.J., Davis C.A., Borges K.A.V. Ontologies and knowledge sharing in urban GIS. Computers, Environment and Urban Systems 2000, 24(3):251-272.
18. Gasevic D., Djuric D., Devedzic V. Model driven engineering and ontology development 2009, Springer, Berlin. 2nd ed.
19. Gruber T.R. A translation approach to ontology specifications. Knowledge Acquisition 1993, 5(2):199-220.
20. Guarino N. Formal ontology, conceptual analysis and knowledge representation. International Journal of Human-Computer Studies 1995, 625-640.
21. Hall G.B., Malcolm N.W., Piwowar J.M. Integration of remote sensing and GIS to detect pockets of urban poverty: The case of Rosario, Argentina. Transactions in GIS 2001, 5(3):235-253.
22. Hasan A. Orangi Pilot Project: The expansion of work beyond Orangi and the mapping of informal settlements and infrastructure. Environment and Urbanization 2006, 18(2):451-480. 10.1177/0956247806069626.
23. Hofmann, P. (2001). Detecting informal settlements from Ikonos image data using methods of object oriented image analysis - An example from Cape Town (South Africa). In Paper presented at the conference on remote sensing of urban areas, Regensburg, Germany.
24. Hofmann P., Strobl J., Blaschke T., Kux H. Detecting informal settlements from Quickbird data in Rio De Janeiro using an object based approach. Object-based Image Analysis 2008, 23:531-553.
25. Jain S. Use of IKONOS satellite data to identify informal settlements in Dehradun, India. International Journal of Remote Sensing 2007, 28(15):3227-3233.
26. Jain S., Sokhi B.S., Sur U. Slum identification using high-resolution satellite data. GIM International 2005, 19(9).
27. Joshi P., Sen S., Hobson J. Experiences with surveying and mapping Pune and Sangli slums on a geographical information system (GIS). Environment and Urbanization 2002, 14(2):225-240. 10.1177/095624780201400218.
28. Karanja I. An enumeration and mapping of informal settlements in Kisumu, Kenya, implemented by their inhabitants Article. Environment and Urbanization 2010, 22(1):217-239. 10.1177/0956247809362642.
29. Kombe W.J. Land use dynamics in peri-urban areas and their implications on the urban growth and form: The case of Dar es Salaam, Tanzania. Habitat International 2005, 29(1):113-135.
30. Lemma T., Sliuzas R.V., Kuffer M. A participatory approach to monitoring slum conditions: An example from Ethiopia. Participatory Learning and Action 2006, 54:54-58.
31. Lepczyk C.A., Lortie C.J., Anderson L.J. An ontology for landscapes. Ecological Complexity 2008, 5(3):272-279.
32. Li, X., Liu, G., Ling, A., Zhan, J., An, N., Li, L., Sha, Y. (2008). Building a practical ontology for emergency response systems. In Paper presented at the international conference on computer science and software engineering (Vol. 04).
33. Martínez J. The use of GIS and indicators to monitor intra-urban inequalities. A case study in Rosario, Argentina. Habitat International 2009, 33(4):387-396.
34. Mason S.O., Fraser C.S. Image sources for informal settlement management. The Photogrammetric Record 1998, 16(92):313-330.
35. Matei O. Ontology-based knowledge organization for the radiograph images segmentation. Advances in Electrical and Computer Engineering 2008, 8(1):56-61.
36. Myint S.W., Gober P., Brazel A., Grossman-Clarke S., Weng Q. Per-pixel vs object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sensing of Environment 2011, 115(5):1145-1161. 10.1016/j.rse.2010.12.017.
37. Neuwirth R. Shadow cities: A billion squatters, a new urban world 2005, Routledge, New York.
38. Nobrega, R. A. A., O'Hara, C. G., Quintanilha, J. A. (2008). An object-based approach to detect road features for informal settlements near Sao Paulo, Brazil. In T. Blaschke, S. Lang, & G. J. Hay (Eds.), Object-based image analysis (pp. 589-607). Heidelberg, Berlin: Springer.
39. OED (2011). Oxford University Press. http://oxforddictionaries.com/.
40. Ridd M.K. Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities. International Journal of Remote Sensing 1995, 16(12):2165-2185.
41. Sliuzas, R. V. (2004). Managing informal settlements: A study using geo-information in Dar es Salaam, Tanzania. PhD dissertation, Utrecht University, ITC publication series no. 112.
42. Sliuzas, R. V., & Kuffer, M. (2008). Analysing the spatial heterogeneity of poverty using remote sensing: Typology of poverty areas using selected RS based indicators. In Paper presented at the EARSeL workshop on remote sensing Bochum, Germany.
43. Sliuzas, R. V., Kerle, N., & Kuffer, M. (2008). Object-oriented mapping of urban poverty and deprivation. In Paper presented at the EARSeL worshop on remote sensing for developing countries in conjunction with GISDECO 8, Istanbul, Turkey.
44. Sowa, J. F. (2000). Knowledge representation: Logical, philosophical and computational foundations. Pacific Grove, CA: Brooks Cole Publishing Co.
45. Swartout W., Tate A. Guest editors' introduction: Ontologies. IEEE Intelligent Systems 1999, 14(1):18-19. http://dx.doi.org/10.1109/MIS.1999.747901.
46. Teller, J., Lee, J., Roussey, C., & Laurini, R. (2007). Pre-consensus ontologies and urban databases ontologies for urban development (Vol. 61, pp. 27-36). Heidelberg, Berlin: Springer.
47. UN-HABITAT (2003a). Slums of the world: The face of urban poverty in the new millennium.
48. UN-HABITAT (2003b). The challenge of slums: Global report on human settlements 2003.
49. UN-HABITAT (2005). Situation analysis of informal settlements in Kisumu.
50. UN-HABITAT (2010). State of world's cities 2010/2011: United Nations Human Settlements Programme (UN-HABITAT).
51. Weeks J., Hill A., Stow D., Getis A., Fugate D. Can we spot a neighborhood from the air? Defining neighborhood structure in Accra, Ghana. GeoJournal 2007, 69(1):9-22.
52. Winter S. Ontology: Buzzword or paradigm shift in GI science?. International Journal of Geographical Information Science 2001, 15(7):587-590.