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Detection of the power lines in UAV remote sensed images using spectral-spatial methods

Bhola, Rishav and Krishna, Nandigam Hari and Ramesh, K N and Senthilnath, J and Anand, Gautham (2018) Detection of the power lines in UAV remote sensed images using spectral-spatial methods. In: JOURNAL OF ENVIRONMENTAL MANAGEMENT, 206 . pp. 1233-1242.

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Official URL: http://dx.doi.org/10.1016/j.jenvman.2017.09.036

Abstract

In this paper, detection of the power lines on images acquired by Unmanned Aerial Vehicle (UAV) based remote sensing is carried out using spectral-spatial methods. Spectral clustering was performed using Kmeans and Expectation Maximization (EM) algorithm to classify the pixels into the power lines and non-power lines. The spectral clustering methods used in this study are parametric in nature, to automate the number of clusters Davies-Bouldin index (DBI) is used. The UAV remote sensed image is clustered into the number of clusters determined by DBI. The k clustered image is merged into 2 clusters (power lines and non-power lines). Further, spatial segmentation was performed using morphological and geometric operations, to eliminate the non-power line regions. In this study, UAV images acquired at different altitudes and angles were analyzed to validate the robustness of the proposed method. It was observed that the EM with spatial segmentation (EM-Seg) performed better than the Kmeans with spatial segmentation (Kmeans-Seg) on most of the UAV images. (C) 2017 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Additional Information: Copy right for this article belong to the ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Depositing User: Id for Latest eprints
Date Deposited: 02 Mar 2018 15:03
Last Modified: 02 Mar 2018 15:03
URI: http://eprints.iisc.ac.in/id/eprint/58954

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