Abstract
Road network in one of the key feature which is used in remote sensing. Many automated methods have been developed in past which are able to detect roads from high resolution satellite (HRS) images. In this study, a cognitive based method is used for detecting road network from HRS images. Cognitive task analysis (CTA) consists of five different stages which are integrated with the nearest neighbour classification approach. This approach is dependent on the manual selection of training data set from HRS images. The method is tested using ten different high resolution satellite images of suburban region. The overall precision and recall computed for test images are 70.24% and 77.18% respectively.
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