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Volumn , Issue , 2015, Pages

The utility of the co-occurrence matrix to extract slum areas from VHR imagery

Author keywords

homogenous urban patches; image segmentation; Mumbai; slums; texture

Indexed keywords

DEVELOPING COUNTRIES; HOUSING; REMOTE SENSING; SATELLITE IMAGERY; TEXTURES;

EID: 84938897418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/JURSE.2015.7120514     Document Type: Conference Paper
Times cited : (7)

References (15)
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  • 5
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    • The development of a morphological unplanned settlement index using very-high-resolution (VHR) imagery
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    • M. Kuffer, J. Barros, and R. V. Sliuzas, "The development of a morphological unplanned settlement index using very-high-resolution (VHR) imagery," Computers, Environment and Urban Systems, vol. 48, pp. 138-152, 11// 2014.
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    • Kuffer, M.1    Barros, J.2    Sliuzas, R.V.3
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  • 9
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    • Texture-based identification of urban slums in Hyderabad, India using remote sensing data
    • O. Kit, M. Lüdeke, and D. Reckien, "Texture-based identification of urban slums in Hyderabad, India using remote sensing data," Applied Geography, vol. 32, pp. 660-667, 2012.
    • (2012) Applied Geography , vol.32 , pp. 660-667
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  • 10
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    • Analysing sub-standard areas using high resolution remote (VHR) sensing imagery
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    • M. Kuffer, K. Pfeffer, I. S. A. Baud, and R. V. Sliuzas, "Analysing sub-standard areas using high resolution remote (VHR) sensing imagery," In: Proceedings of the 14th N-AERUS / GISDECO conference, 12-14 September 2013, Enschede, Netherlands. ISBN: 978-90-365-0747-9. 15 p., 2013.
    • (2013) Proceedings of the 14th N-AERUS / GISDECO Conference , pp. 15
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  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.