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

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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;