Per-pixel and object-oriented classification methods for mapping urban features using Ikonos satellite data

@inproceedings{Bhaskaran2010PerpixelAO,
  title={Per-pixel and object-oriented classification methods for mapping urban features using Ikonos satellite data},
  author={Sunil Bhaskaran and Shanka Paramananda and Maria Ramnarayan},
  year={2010}
}
Abstract Urban planning requires timely acquisition and analysis of spatial and temporal information for making informed decisions. Whilst spectral analysis of images has yielded satisfactory results, they may not be enough to extract urban features from very high resolution (VHR) satellite data such as Ikonos. A combined spectral and spatial approach may be useful to map urban features particularly those with low spectral separability. The paper describes an approach using both per-pixel and… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 96 CITATIONS

Sustainable urban planning mapping using remote sensing and GIS in Malaysia

  • 2015 Joint Urban Remote Sensing Event (JURSE)
  • 2015
VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2010
2019

CITATION STATISTICS

  • 7 Highly Influenced Citations

  • Averaged 8 Citations per year from 2017 through 2019