:: 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:   (2889 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]   (960 Downloads)    
Type of Study: Research |
Received: 2016/01/22 | Accepted: 2016/01/22 | Published: 2016/01/22

XML   Persian Abstract   Print

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