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:: Volume 6, Issue 2 (9-2018) ::
jgit 2018, 6(2): 1-21 Back to browse issues page
Introducing a method for producing a Spatial indces to use spatial data in panchromatic image classification
Hamed Ashoori , Mohammad Javad Valadan Zoej , MahmoodReza Sahebi
K.N. Toosi University of Technology
Abstract:   (218 Views)
Classification is the most common method for information extraction from remotely sensed images. Conventional classification methods are mostly based on spectral information. While particularly in high spatial resolution images, spatial relationships between neighboring pixels used to discriminate between different land-cover classes in human interpretation. In different research methods for quantification of image texture and use it to create separation between classes is provided. Considering the variety of formulation and adjustable parameters of texture quantization methods, huge number of texture features could be generated. Each feature has specific ability to discriminate special classes. In this paper a new method based on spectral index formulation proposed to generate Spatial Indices from textural features. Best pairs of textural features selected and Spatial Indices using them will be generated. Generated Spatial Indices are good abstract of textural feature space to use in classification procedure. This method could led to better classification results in a direct and none international solution.
Keywords: Spatial Index, Supervised classification, Panchromatic Image, Image texture quantization
Full-Text [PDF 1562 kb]   (130 Downloads)    
Type of Study: Research | Subject: RS
Received: 2016/07/25 | Accepted: 2017/01/1 | Published: 2018/09/22
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Ashoori H, Valadan Zoej M J, Sahebi M. Introducing a method for producing a Spatial indces to use spatial data in panchromatic image classification. jgit. 2018; 6 (2) :1-21
URL: http://jgit.kntu.ac.ir/article-1-586-en.html


Volume 6, Issue 2 (9-2018) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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