Study of LIDAR mapping technology

High-resolution digital terrain models (DTMs) are essential and key component for topographic applications such as earth moving industry, flood modeling and etc. They are generated by LIght Detection and Ranging technology which is short for LIDAR technology. It is one of the latest optical remote s...

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Main Author: Liu, Jing.
Other Authors: Lu Yilong
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/53013
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-530132023-07-07T17:57:25Z Study of LIDAR mapping technology Liu, Jing. Lu Yilong School of Electrical and Electronic Engineering DRNTU::Engineering High-resolution digital terrain models (DTMs) are essential and key component for topographic applications such as earth moving industry, flood modeling and etc. They are generated by LIght Detection and Ranging technology which is short for LIDAR technology. It is one of the latest optical remote sensing technologies used for measuring the distance from a laser which transmits pulses to some target. Usually, airborne LIDAR systems return a three-dimensional cloud of point measurements which gives irregular spacing. Measurements from unwanted features and objects such as trees, vehicles should be classified and removed so as to generate a DTM. The exact location of a DTM in a real map is a critical job when GPS service is not available. This project is mainly divided into two parts. The first part is to remove unwanted points from LIDAR datasets. Gridded LIDAR datasets are needed for generating DTM if measurements from wanted features are expected to be identified and separated from unwanted features. If LIDAR datasets are needed to be converted into either a regular or a square, grayscale grid image in terms of elevation, objects will be classified by the change of gray tone. Morphological filter (MF) and progressive morphological filter (PMF) have a task which is to extract the wanted points from LIDAR measurements. The second part is to find and map the exact location of the LIDAR image in the real Google map of Singapore Science Park. The real image which is retrieved form Google contains almost all information needed, while LIDAR image is formed through LIDAR datasets collected. Two types of LIDAR images are discussed in detail, which are of multi-color and BW (Black & Color). Elevation filter which leads to this difference between the two types is also investigated. In summary, all tasks assigned are accomplished successfully and fulfill all the requirements given. Bachelor of Engineering 2013-05-29T07:32:47Z 2013-05-29T07:32:47Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53013 en Nanyang Technological University 63 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Liu, Jing.
Study of LIDAR mapping technology
description High-resolution digital terrain models (DTMs) are essential and key component for topographic applications such as earth moving industry, flood modeling and etc. They are generated by LIght Detection and Ranging technology which is short for LIDAR technology. It is one of the latest optical remote sensing technologies used for measuring the distance from a laser which transmits pulses to some target. Usually, airborne LIDAR systems return a three-dimensional cloud of point measurements which gives irregular spacing. Measurements from unwanted features and objects such as trees, vehicles should be classified and removed so as to generate a DTM. The exact location of a DTM in a real map is a critical job when GPS service is not available. This project is mainly divided into two parts. The first part is to remove unwanted points from LIDAR datasets. Gridded LIDAR datasets are needed for generating DTM if measurements from wanted features are expected to be identified and separated from unwanted features. If LIDAR datasets are needed to be converted into either a regular or a square, grayscale grid image in terms of elevation, objects will be classified by the change of gray tone. Morphological filter (MF) and progressive morphological filter (PMF) have a task which is to extract the wanted points from LIDAR measurements. The second part is to find and map the exact location of the LIDAR image in the real Google map of Singapore Science Park. The real image which is retrieved form Google contains almost all information needed, while LIDAR image is formed through LIDAR datasets collected. Two types of LIDAR images are discussed in detail, which are of multi-color and BW (Black & Color). Elevation filter which leads to this difference between the two types is also investigated. In summary, all tasks assigned are accomplished successfully and fulfill all the requirements given.
author2 Lu Yilong
author_facet Lu Yilong
Liu, Jing.
format Final Year Project
author Liu, Jing.
author_sort Liu, Jing.
title Study of LIDAR mapping technology
title_short Study of LIDAR mapping technology
title_full Study of LIDAR mapping technology
title_fullStr Study of LIDAR mapping technology
title_full_unstemmed Study of LIDAR mapping technology
title_sort study of lidar mapping technology
publishDate 2013
url http://hdl.handle.net/10356/53013
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