[1]LI Bin-bing,HUANG Lei.Study on Recognition of the Gully in Loess Hilly-Gully Region Based on Object-Oriented Technology[J].Research of Soil and Water Conservation,2013,20(03):115-119,124.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
20
Number of periods:
2013 03
Page number:
115-119,124
Column:
Public date:
2013-06-28
- Title:
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Study on Recognition of the Gully in Loess Hilly-Gully Region Based on Object-Oriented Technology
- Author(s):
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LI Bin-bing, HUANG Lei
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Department of Information Engineering, University of Armed Police Forces of Engineering, Xi’an 710086, China
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- Keywords:
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gully; high resolution spatial image; semi-automatic objected-based classification
- CLC:
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TP751;S157
- DOI:
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- Abstract:
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Based on high resolution spatial image, this paper proposed a semi-automatic objected-based classification method to extract gully features using a combination of topographic, spectral, shape(geometric) and contextual information obtained from World View-2 data and a set of GLCMs metrics was calculated based on the flow direction. Taking the third auxiliary district of the loess hilly-gully area of Qiaozigou watershed of Tianshui in Gansu as a case, a rule-set was developed and tested on terrace, orchard, forest, road and gully. The classification results were evaluated by visual interpretation and field investigation which had promising accuracies, and the overall classification accuracy was 75.17%, the overall Kappa coefficient was 0.64, the producer accuracy of gully reached to 80% and the user accuracy was 70.59%.