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Information Journal Paper

Title

KNOWLEDGE BASED FUSION OF HIGH RESOLUTION RADAR AND OPTICAL IMAGES FOR ROAD EXTRACTION IN URBAN AREAS

Pages

  27-34

Abstract

 In this article, a new method is presented for fusion of high resolution optical and radar data for higher quality ROAD EXTRACTION. The proposed methodology consists of two stages. The first stage includes road detection separately from each data and the second stage is KNOWLEDGE BASED FUSION of images. NEURAL NETWORKs are separately applied on high resolution IKONOS and TerraSAR-X images for road detection, using a variety of texture parameters. KNOWLEDGE BASED FUSION method is then carried out using some thresholds about gray level of narrow roads and vegetation. In order to evaluate the result accuracy assessment parameters including RCC, BCC and RMSE (Root Mean Square Error) were estimated as 79.42%, 93.51% and 0.27, respectively. The results obtained show the high efficiency of the proposed method.

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    APA: Copy

    KHESALI, E., VALADAN ZOEJ, M.J., & MOKHTARZADE, M.. (2013). KNOWLEDGE BASED FUSION OF HIGH RESOLUTION RADAR AND OPTICAL IMAGES FOR ROAD EXTRACTION IN URBAN AREAS. JOURNAL OF RADAR, 1(1 (SERIAL NO. 1)), 27-34. SID. https://sid.ir/paper/244148/en

    Vancouver: Copy

    KHESALI E., VALADAN ZOEJ M.J., MOKHTARZADE M.. KNOWLEDGE BASED FUSION OF HIGH RESOLUTION RADAR AND OPTICAL IMAGES FOR ROAD EXTRACTION IN URBAN AREAS. JOURNAL OF RADAR[Internet]. 2013;1(1 (SERIAL NO. 1)):27-34. Available from: https://sid.ir/paper/244148/en

    IEEE: Copy

    E. KHESALI, M.J. VALADAN ZOEJ, and M. MOKHTARZADE, “KNOWLEDGE BASED FUSION OF HIGH RESOLUTION RADAR AND OPTICAL IMAGES FOR ROAD EXTRACTION IN URBAN AREAS,” JOURNAL OF RADAR, vol. 1, no. 1 (SERIAL NO. 1), pp. 27–34, 2013, [Online]. Available: https://sid.ir/paper/244148/en

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