DETECTING SLUMS FROM QUICK BIRD DATA IN PUNE USING AN OBJECT ORIENTED APPROACH

23 citations as recorded by crossref.

1. Slum mapping in polarimetric SAR data using spatial features M. Wurm et al.
2. Urban Slum Detection Approaches from High-Resolution Satellite Data Using Statistical and Spectral Based Approaches R. Prabhu & R. Alagu Raja
3. Urban slum detection using texture and spatial metrics derived from satellite imagery D. Kohli et al.
4. Object-Based Informal Settlement Mapping in Google Earth Engine Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data D. Matarira et al.
5. Mapping informal settlement indicators using object-oriented analysis in the Middle East A. Fallatah et al.
6. Effective management of slums- Case study of Kalaburagi city, Karnataka, India S. Shekhar
7. The Paradox of Informal Settlements Revealed in an ATLAS of Informality: Findings from Mapping Growth in the Most Common Yet Unmapped Forms of Urbanization J. Samper et al.
8. Computational socioeconomics J. Gao et al.
9. Slums from Space—15 Years of Slum Mapping Using Remote Sensing M. Kuffer et al.
10. Mapping urban villages using fully convolutional neural networks J. Mast et al.
11. Exploring Spatio-Temporal Pattern of Gentrification Processes in Intracity Slums in the Lagos Megacity O. Obaitor et al.
12. The morphology of the Arrival City - A global categorization based on literature surveys and remotely sensed data H. Taubenböck et al.
13. Automated detection of slum area change in Hyderabad, India using multitemporal satellite imagery O. Kit & M. Lüdeke
14. Mapping and Assessment of Housing Informality Using Object-Based Image Analysis: A Review N. Mudau & P. Mhangara
15. Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks N. Mboga et al.
16. Uncertainty analysis for image interpretations of urban slums D. Kohli et al.
17. The role of spatial heterogeneity in detecting urban slums J. Wang et al.
18. Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning D. Arribas-Bel et al.
19. Measuring intra-urban poverty using land cover and texture metrics derived from remote sensing data J. Duque et al.
20. A large-scale extraction framework for mapping urban in-formal settlements using remote sensing and semantic segmentation Y. Zhang et al.
21. Highlighting concealed communities: detection of urban informal settlements using space syntax method, fuzzy model, and high-resolution imagery F. Hosseinali et al.
22. Mapping Urban Slum Settlements Using Very High-Resolution Imagery and Land Boundary Data T. Williams et al.
23. Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process O. Badmos et al.