[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 3, Issue 1 (6-2015) ::
jgit 2015, 3(1): 77-94 Back to browse issues page
Designing an object based rule set for road detection from high resolution satellite imagery
Maryam Nikfar *, Mohammad Javad Valadan Zoej, Mehdi Mokhtarzade, Mahdi Aliyari Shoorehdeli
K.N.Toosi University of Technology
Abstract:   (3914 Views)

The increasing availability of high resolution satellite images is an opportunity to detect urban objects such as roads. In order to increasing the precision a new image analysis using object-based approaches has been proposed. In this paper, designing steps of knowledge based of road detection has been presented. In this field, an important challenge is the use of knowledge for automatic road objects identification, and a major issue is the formalization and exploitation of this knowledge. At first, optimum features, including spectral, texture and structural features, are detected using a genetic algorithm with a k-nearest neighbor classifier. After that a rule based road detection strategy has been developed using prior knowledge and optimum features interpretation. The method is designed and validated by IKONOS images of the urban areas of Hobart, Kish and Shiraz. The validation results highlight the capacity of the proposed method to automatically identify road objects using the knowledge based proposed system.

Keywords: Object Based Image Analysis, Road Detection, Rule Based, Genetic Algorithm
Full-Text [PDF 1471 kb]   (1329 Downloads)    
Type of Study: Research |
Received: 2016/01/22 | Accepted: 2016/01/22 | Published: 2016/01/22
Send email to the article author

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nikfar M, Valadan Zoej M J, Mokhtarzade M, Aliyari Shoorehdeli M. Designing an object based rule set for road detection from high resolution satellite imagery. jgit 2015; 3 (1) :77-94
URL: http://jgit.kntu.ac.ir/article-1-193-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 3, Issue 1 (6-2015) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
Persian site map - English site map - Created in 0.08 seconds with 28 queries by YEKTAWEB 4570