Sökning: id:"swepub:oai:lup.lub.lu.se:e7ca8d42-d82c-4e35-990c-f4fca83c7a6f" >
Land use studies in...
Land use studies in drylands: an evaluation of object-oriented classification of very high resolution panchromatic imagery
-
- Elmqvist, Bodil (författare)
- Lund University,Lunds universitet,LUCSUS,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,LUCSUS (Lund University Centre for Sustainability Studies),Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
-
- Ardö, Jonas (författare)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
-
- Olsson, Lennart (författare)
- Lund University,Lunds universitet,LUCSUS,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,LUCSUS (Lund University Centre for Sustainability Studies),Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
-
(creator_code:org_t)
- 2008-11-07
- 2008
- Engelska.
-
Ingår i: International Journal of Remote Sensing. - : Informa UK Limited. - 1366-5901 .- 0143-1161. ; 29:24, s. 7129-7140
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://lup.lub.lu.s...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap -- Tvärvetenskapliga studier inom samhällsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Other Social Sciences -- Social Sciences Interdisciplinary (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas