東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Post Processing Methods for Three Di...

McKenzie, Trevor Lee.

FindBook

Google Book

Amazon

博客來

Post Processing Methods for Three Dimensional Imaging Lidar with Multi-Scale Characterization of Subsea Organisms.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Post Processing Methods for Three Dimensional Imaging Lidar with Multi-Scale Characterization of Subsea Organisms./
作者:	McKenzie, Trevor Lee.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	77 p.
附註:	Source: Masters Abstracts International, Volume: 81-07.
Contained By:	Masters Abstracts International81-07.
標題:	Ocean engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27665990
ISBN:	9781392617540

Post Processing Methods for Three Dimensional Imaging Lidar with Multi-Scale Characterization of Subsea Organisms.
McKenzie, Trevor Lee.

Post Processing Methods for Three Dimensional Imaging Lidar with Multi-Scale Characterization of Subsea Organisms. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 77 p.

Source: Masters Abstracts International, Volume: 81-07.

Thesis (M.S.)--Florida Atlantic University, 2019.

This item must not be sold to any third party vendors.

The thesis objective is to develop protocols that provide analysis and interpretation for data from a pulsed laser serial scanning lidar system for underwater imaging. The specific focus is remotely observing marine organisms in the centimeter size range in the poorly understood mesopelagic realm of the ocean. The Unobtrusive Multi-Static Lidar Imager (UMSLI) system captures an expansive volume scan field with differentiating imaging resolution per planar slice, allowing precise assignment of location for organisms in the field of view. The multi-static highly collimated beams are recorded by a photo-multiplier tube receiver as a time-lapse waveform of the returned energy flux, each waveform comprehensibly represents an image pixel in spatially and temporally. Complied lidar waveforms produce an array of returns which signify the magnitude of backscatter from varying sized particles across the observed volume. These volume scans are uniquely evaluated and transformed for each time bin through a processing method which extracts particle characteristics and statistics based on adaptive spatial and temporal techniques. The post processing method aims to greatly extend the capabilities of the lidar imaging system to extract particles. Results of the processing method are presented as particle counts and particle size distributions of the water columns during observed vertical migration periods. Methods are compared with other optical devices for validation, and results are interpreted to better understand the organism distribution in the mesopelagic and their behavior, with respect to diel vertical migrations.

ISBN: 9781392617540Subjects--Topical Terms:

660731
Ocean engineering.
Subjects--Index Terms:

In situ

Post Processing Methods for Three Dimensional Imaging Lidar with Multi-Scale Characterization of Subsea Organisms.
LDR:02764nmm a2200361 4500 001 2268910
005 20200824100425.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781392617540
035 $a (MiAaPQ)AAI27665990
035 $a AAI27665990
040 $a MiAaPQ $c MiAaPQ
100 1 $a McKenzie, Trevor Lee. $3 3546212
245 1 0 $a Post Processing Methods for Three Dimensional Imaging Lidar with Multi-Scale Characterization of Subsea Organisms.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 77 p.
500 $a Source: Masters Abstracts International, Volume: 81-07.
500 $a Advisor: Nayak, Aditya.
502 $a Thesis (M.S.)--Florida Atlantic University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a The thesis objective is to develop protocols that provide analysis and interpretation for data from a pulsed laser serial scanning lidar system for underwater imaging. The specific focus is remotely observing marine organisms in the centimeter size range in the poorly understood mesopelagic realm of the ocean. The Unobtrusive Multi-Static Lidar Imager (UMSLI) system captures an expansive volume scan field with differentiating imaging resolution per planar slice, allowing precise assignment of location for organisms in the field of view. The multi-static highly collimated beams are recorded by a photo-multiplier tube receiver as a time-lapse waveform of the returned energy flux, each waveform comprehensibly represents an image pixel in spatially and temporally. Complied lidar waveforms produce an array of returns which signify the magnitude of backscatter from varying sized particles across the observed volume. These volume scans are uniquely evaluated and transformed for each time bin through a processing method which extracts particle characteristics and statistics based on adaptive spatial and temporal techniques. The post processing method aims to greatly extend the capabilities of the lidar imaging system to extract particles. Results of the processing method are presented as particle counts and particle size distributions of the water columns during observed vertical migration periods. Methods are compared with other optical devices for validation, and results are interpreted to better understand the organism distribution in the mesopelagic and their behavior, with respect to diel vertical migrations.
590 $a School code: 0119.
650 4 $a Ocean engineering. $3 660731
650 4 $a Optics. $3 517925
653 $a In situ
653 $a Lidar
653 $a Mesopelagic
653 $a Optics
653 $a Particle size distributions
690 $a 0547
690 $a 0752
710 2 $a Florida Atlantic University. $b Ocean Engineering. $3 3173823
773 0 $t Masters Abstracts International $g 81-07.
790 $a 0119
791 $a M.S.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27665990