Cover Image

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

Saved in:
Bibliographic Details
Main Author: ,,, Abdul Qayyum
Format: Thesis
Published: 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/id/eprint/25334/
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:utpedia.utp.edu.my:25334
record_format eprints
spelling oai:utpedia.utp.edu.my:253342023-09-27T02:20:43Z 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 ,,, 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/
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/
_version_ 1778164495983575040
score 13.18916

Similar Items