Image Processing Apply to UAV
碩士 === 中原大學 === 機械工程研究所 === 107 === infrastructure ging and general building degradation are a major concern in engineering issues, so check the physical state of the building as the daily work of the relevant unit. However, today''s detection methods are too time-consuming, costly...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/n5bmna |
id |
ndltd-TW-107CYCU5489021 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-107CYCU54890212019-08-27T03:43:00Z http://ndltd.ncl.edu.tw/handle/n5bmna Image Processing Apply to UAV 影像修正應用於無人系統載具 Yu-Chun Chen 陳俞均 碩士 中原大學 機械工程研究所 107 infrastructure ging and general building degradation are a major concern in engineering issues, so check the physical state of the building as the daily work of the relevant unit. However, today''s detection methods are too time-consuming, costly and dangerous. Therefore, this paper hopes to apply unmanned system vehicles to detect buildings and improve the shortcomings of traditional building detection. Non-contact measurement of image inspection is the easiest and quickest method. In this paper, the camera is connected to the recorder, and the data generated by the object to be tested is sorted out to correct the photo mode. After the photo is corrected, the collage can be used. Short time, money and low risk means to achieve the purpose of testing. In addition, the detection range of this method is wide and the resolution is high, and the effect presentation is also more perfect. Chen-Ming Kuo 郭鎮銘 2019 學位論文 ; thesis 83 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 中原大學 === 機械工程研究所 === 107 === infrastructure ging and general building degradation are a major concern in engineering issues, so check the physical state of the building as the daily work of the relevant unit. However, today''s detection methods are too time-consuming, costly and dangerous. Therefore, this paper hopes to apply unmanned system vehicles to detect buildings and improve the shortcomings of traditional building detection.
Non-contact measurement of image inspection is the easiest and quickest method. In this paper, the camera is connected to the recorder, and the data generated by the object to be tested is sorted out to correct the photo mode. After the photo is corrected, the collage can be used. Short time, money and low risk means to achieve the purpose of testing. In addition, the detection range of this method is wide and the resolution is high, and the effect presentation is also more perfect.
|
author2 |
Chen-Ming Kuo |
author_facet |
Chen-Ming Kuo Yu-Chun Chen 陳俞均 |
author |
Yu-Chun Chen 陳俞均 |
spellingShingle |
Yu-Chun Chen 陳俞均 Image Processing Apply to UAV |
author_sort |
Yu-Chun Chen |
title |
Image Processing Apply to UAV |
title_short |
Image Processing Apply to UAV |
title_full |
Image Processing Apply to UAV |
title_fullStr |
Image Processing Apply to UAV |
title_full_unstemmed |
Image Processing Apply to UAV |
title_sort |
image processing apply to uav |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/n5bmna |
work_keys_str_mv |
AT yuchunchen imageprocessingapplytouav AT chényújūn imageprocessingapplytouav AT yuchunchen yǐngxiàngxiūzhèngyīngyòngyúwúrénxìtǒngzàijù AT chényújūn yǐngxiàngxiūzhèngyīngyòngyúwúrénxìtǒngzàijù |
_version_ |
1719237406915297280 |