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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2024, Volume 39 Issue 1   
    Article

    GUARDIANLINK: FORTIFYING HIGHLY SECURE DATA COMMUNICATION BETWEEN DECENTRALIZED ARMY STATIONS
    Mr. Akshay Sonawane, Prof. Dr. Sarita Patil
    Journal of Data Acquisition and Processing, 2024, 39 (1): 1227-1236 . 

    Abstract

    Aircraft recognition is a vital research area in recent research trends. The objective of the study is to recognize an aircraft in satellite image using sensing images matching for accurate detection and tracking. High resolution multispectral satellite images with multi angular look capability have tremendous potential applications. Automatic aircraft recognition is a challenging task. Conventional methods always extract the overall shapes of aircraft at first and then represent the aircraft based on the extracted shape with different features for recognition a reconstruction-based similarity measure is proposed, which transforms the type recognition problem into a reconstruction problem. The contour tracking system provides the result with low computational complexity and better accuracy. Morphological and connected component analysis was utilized effectively for enhancing a segmented regions and contour tracking target objects. Finally the simulated result was shown that better efficiency achieved with chosen techniques and methodologies. A Novel SSOFM (statistical self-organizing feature map) type recognition approach for aircraft is proposed. In addition to making more use of the shape characteristics of different types of aircraft.

    Keyword

    Aircraft Recognition, Remote sensing Images, Multispectral images, SSOFM method


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ISSN 1004-9037

         

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