Autonomous building detection using region properties and PCA

Nour Aburaed, Alavikunhu Panthakkan, Husameldin Mukhtar, Wathiq Mansoor, Saeed Almansoori, Hussain Al Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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.

Original languageEnglish
Title of host publication2018 International Conference on Signal Processing and Information Security, ICSPIS 2018
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages4
ISBN (Electronic)9781728102573
DOIs
Publication statusPublished - 14 Feb 2019
Event2018 International Conference on Signal Processing and Information Security, ICSPIS 2018 - Dubai, United Arab Emirates
Duration: 7 Nov 20188 Nov 2018

Conference

Conference2018 International Conference on Signal Processing and Information Security, ICSPIS 2018
CountryUnited Arab Emirates
CityDubai
Period7/11/188/11/18

Keywords

  • building detection
  • edge detection
  • PCA
  • region properties
  • remote sensing
  • satellite images
  • segmentation

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