Autonomous building detection using region properties and PCA

Aburaed, Nour and Panthakkan, Alavikunhu and Mukhtar, Husameldin and Mansoor, Wathiq and Almansoori, Saeed and Ahmad, Hussain Al; (2019) Autonomous building detection using region properties and PCA. In: 2018 International Conference on Signal Processing and Information Security, ICSPIS 2018. IEEE, ARE. ISBN 9781728102573 (https://doi.org/10.1109/CSPIS.2018.8642721)

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Abstract

This paper proposes an algorithm for autonomous building detection in remote sensing images. The basis of the algorithm relies on the fact that each channel in RGB color space conveys different information. Furthermore, region properties and Principal Component Analysis (PCA) are used to distinguish between buildings and other regions in order to reduce false positive cases. The images used to test the proposed algorithm were obtained from DubaiSat-2, which offers multispectral images with 1-m accuracy.

ORCID iDs

Aburaed, Nour ORCID logoORCID: https://orcid.org/0000-0002-5906-0249, Panthakkan, Alavikunhu, Mukhtar, Husameldin, Mansoor, Wathiq, Almansoori, Saeed and Ahmad, Hussain Al;
  • Item type:Book Section
    ID code:74351
    Dates:
    Date
    Event
    14 February 2019
    Published
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:23 Oct 2020 15:26
    Last modified:15 Nov 2024 01:20
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/74351
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