Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines

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Main Author: ,,, Abdul Qayyum
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/25334/1/ABDUL%20QAYYUM_G02765.pdf
http://utpedia.utp.edu.my/id/eprint/25334/
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spelling oai:utpedia.utp.edu.my:253342024-08-27T11:15:06Z http://utpedia.utp.edu.my/id/eprint/25334/ Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines ,,, Abdul Qayyum TK Electrical engineering. Electronics Nuclear engineering 2018 Thesis NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/25334/1/ABDUL%20QAYYUM_G02765.pdf ,,, Abdul Qayyum (2018) Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines. Doctoral thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
,,, Abdul Qayyum
Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines
format Thesis
author ,,, Abdul Qayyum
author_facet ,,, Abdul Qayyum
author_sort ,,, Abdul Qayyum
title Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines
title_short Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines
title_full Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines
title_fullStr Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines
title_full_unstemmed Height Estimation Based on Convolutional Neural Network and Sparse Representation Techniques using Aerial Stereo Imagery for Monitoring of Vegetation Near Power Lines
title_sort height estimation based on convolutional neural network and sparse representation techniques using aerial stereo imagery for monitoring of vegetation near power lines
publishDate 2018
url http://utpedia.utp.edu.my/id/eprint/25334/1/ABDUL%20QAYYUM_G02765.pdf
http://utpedia.utp.edu.my/id/eprint/25334/
_version_ 1808972389023744000
score 13.214268