Advanced

Land use studies in drylands: an evaluation of object-oriented classification of very high resolution panchromatic imagery

Elmqvist, Bodil LU ; Ardö, Jonas LU and Olsson, Lennart LU (2008) In International Journal of Remote Sensing 29(24). p.7129-7140
Abstract
Object-oriented classification approaches offer an alternative to per-pixel methods for assessment of land use and land cover. Combining object-oriented approaches with very high resolution imagery may provide enhanced possibilities for applications requiring land use and land cover data. The aim of this study is to evaluate the application of object-oriented classification of panchromatic very high resolution data in African drylands, where sizes and shapes of fields are varied, and intercropping practised, which might lead to difficulties in image segmentation. The results show that region-based segmentation is sensitive to the proportion of spectral and shape information and the best results were gained when the segmentation was based... (More)
Object-oriented classification approaches offer an alternative to per-pixel methods for assessment of land use and land cover. Combining object-oriented approaches with very high resolution imagery may provide enhanced possibilities for applications requiring land use and land cover data. The aim of this study is to evaluate the application of object-oriented classification of panchromatic very high resolution data in African drylands, where sizes and shapes of fields are varied, and intercropping practised, which might lead to difficulties in image segmentation. The results show that region-based segmentation is sensitive to the proportion of spectral and shape information and the best results were gained when the segmentation was based on predominately spectral information. The accuracy (Kappa value of 0.6) for the object-oriented classification was significantly higher than that for per-pixel classification. However, both the segmentation and the classification were time-consuming based on a trial and error process. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
International Journal of Remote Sensing
volume
29
issue
24
pages
7129 - 7140
publisher
Taylor & Francis
external identifiers
  • wos:000260771300005
  • scopus:56349159221
ISSN
1366-5901
DOI
10.1080/01431160802238419
language
English
LU publication?
yes
id
e7ca8d42-d82c-4e35-990c-f4fca83c7a6f (old id 1283386)
date added to LUP
2009-02-10 11:53:17
date last changed
2017-01-01 04:58:45
@article{e7ca8d42-d82c-4e35-990c-f4fca83c7a6f,
  abstract     = {Object-oriented classification approaches offer an alternative to per-pixel methods for assessment of land use and land cover. Combining object-oriented approaches with very high resolution imagery may provide enhanced possibilities for applications requiring land use and land cover data. The aim of this study is to evaluate the application of object-oriented classification of panchromatic very high resolution data in African drylands, where sizes and shapes of fields are varied, and intercropping practised, which might lead to difficulties in image segmentation. The results show that region-based segmentation is sensitive to the proportion of spectral and shape information and the best results were gained when the segmentation was based on predominately spectral information. The accuracy (Kappa value of 0.6) for the object-oriented classification was significantly higher than that for per-pixel classification. However, both the segmentation and the classification were time-consuming based on a trial and error process.},
  author       = {Elmqvist, Bodil and Ardö, Jonas and Olsson, Lennart},
  issn         = {1366-5901},
  language     = {eng},
  number       = {24},
  pages        = {7129--7140},
  publisher    = {Taylor & Francis},
  series       = {International Journal of Remote Sensing},
  title        = {Land use studies in drylands: an evaluation of object-oriented classification of very high resolution panchromatic imagery},
  url          = {http://dx.doi.org/10.1080/01431160802238419},
  volume       = {29},
  year         = {2008},
}