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Cites:

Information Journal Paper

Title

THE AUTOMATIC AIRPORT DETECTION AND EXTRACTION IN THE SINGLE SYNTHETIC APERTURE RADAR IMAGERY

Pages

  39-52

Abstract

 The advantage of hardware and pattern recognition techniques along with the wide applications of Remote Sensing (RS) satellites have caused the development of Automatic Target Detection (ATR) systems. Especially, the automatic airport detection is a necessary task due to its important strategy. In this study, a new method is proposed for the automatic AIRPORT DETECTION AND EXTRACTION in the single Synthetic Aperture RADAR (SAR) imagery. For this purpose, an Unmanned Aerial Vehicle SAR (UAVSAR) imagery acquired in L band from Okaloosa in Florida is used. Overally, the proposed method contains the combination of HOUGH TRANSFORM forthe airport runway detection, and an OBJECT BASED CLASSIFICATION stage for the airport’s area extraction. Experimental results demonstrated the perfect performance and efficiency of the proposed method for the automatic AIRPORT DETECTION AND EXTRACTION.

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  • Cite

    APA: Copy

    AGHBALAEI, A., MAGHSOUDI, Y., & EBADI, H.. (2017). THE AUTOMATIC AIRPORT DETECTION AND EXTRACTION IN THE SINGLE SYNTHETIC APERTURE RADAR IMAGERY. JOURNAL OF RADAR, 5(1 (SERIAL NO. 15) ), 39-52. SID. https://sid.ir/paper/244144/en

    Vancouver: Copy

    AGHBALAEI A., MAGHSOUDI Y., EBADI H.. THE AUTOMATIC AIRPORT DETECTION AND EXTRACTION IN THE SINGLE SYNTHETIC APERTURE RADAR IMAGERY. JOURNAL OF RADAR[Internet]. 2017;5(1 (SERIAL NO. 15) ):39-52. Available from: https://sid.ir/paper/244144/en

    IEEE: Copy

    A. AGHBALAEI, Y. MAGHSOUDI, and H. EBADI, “THE AUTOMATIC AIRPORT DETECTION AND EXTRACTION IN THE SINGLE SYNTHETIC APERTURE RADAR IMAGERY,” JOURNAL OF RADAR, vol. 5, no. 1 (SERIAL NO. 15) , pp. 39–52, 2017, [Online]. Available: https://sid.ir/paper/244144/en

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