Maximum a posteriori image and seeing condition estimation from partially coherent two-dimensional light detection and ranging images

2006 ◽  
Vol 45 (8) ◽  
pp. 086201 ◽  
Author(s):  
Adam MacDonald
Keyword(s):  
Light Detection And Ranging ◽  
Two Dimensional ◽  
A Posteriori ◽  
Light Detection ◽  
Condition Estimation ◽  
Partially Coherent

Light detection and ranging measurements of wake dynamics. Part II: two-dimensional scanning

Wind Energy ◽  
2011 ◽  
Vol 14 (1) ◽  
pp. 61-75 ◽  
Author(s):  
Juan-José Trujillo ◽  
Ferhat Bingöl ◽  
Gunner C. Larsen ◽  
Jakob Mann ◽  
Martin Kühn
Keyword(s):  
Light Detection And Ranging ◽  
Two Dimensional ◽  
Light Detection

scholarly journals Using Airborne Light Detection and Ranging (LIDAR) to Characterize Forest Stand Condition on the Kenai Peninsula of Alaska

2009 ◽  
Vol 24 (2) ◽  
pp. 95-102 ◽  
Author(s):  
Hans-Erik Andersen
Keyword(s):  
Forest Inventory ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Grid Cell ◽  
Forest Stand ◽  
Light Detection And Ranging ◽  
Inventory Analysis ◽  
Light Detection ◽  
Individual Tree ◽  
Kenai Peninsula

Abstract Airborne laser scanning (also known as light detection and ranging or LIDAR) data were used to estimate three fundamental forest stand condition classes (forest stand size, land cover type, and canopy closure) at 32 Forest Inventory Analysis (FIA) plots distributed over the Kenai Peninsula of Alaska. Individual tree crown segment attributes (height, area, and species type) were derived from the three-dimensional LIDAR point cloud, LIDAR-based canopy height models, and LIDAR return intensity information. The LIDAR-based crown segment and canopy cover information was then used to estimate condition classes at each 10-m grid cell on a 300 × 300-m area surrounding each FIA plot. A quantitative comparison of the LIDAR- and field-based condition classifications at the subplot centers indicates that LIDAR has potential as a useful sampling tool in an operational forest inventory program.

Precision and shortcomings of yaw error estimation using spinner-based light detection and ranging

Wind Energy ◽  
2012 ◽  
Vol 16 (3) ◽  
pp. 353-366 ◽  
Author(s):  
Knud A. Kragh ◽  
Morten H. Hansen ◽  
Torben Mikkelsen
Keyword(s):  
Error Estimation ◽  
Light Detection And Ranging ◽  
Light Detection

Hybrid Integrated Silicon NitridePolymer Optical Phased Array for Efficient Light Detection and Ranging

2021 ◽  
pp. 1-1
Author(s):  
Chul-Soon Im ◽  
Sung-Moon Kim ◽  
Kyeong-Pyo Lee ◽  
Seong-Hyeon Ju ◽  
Jung-Ho Hong ◽  
...  
Keyword(s):  
Phased Array ◽  
Light Detection And Ranging ◽  
Light Detection ◽  
Optical Phased Array

Hardware-in-the-loop projector system for light detection and ranging sensor testing

2012 ◽  
Vol 51 (8) ◽  
pp. 083609-1 ◽  
Author(s):  
Hajin J. Kim ◽  
Charles B. Naumann ◽  
Michael C. Cornell
Keyword(s):  
Light Detection And Ranging ◽  
Hardware In The Loop ◽  
Light Detection

Integrating lidar and geophysical surveys at Falerii Novi and Falerii Veteres (Viterbo)

2009 ◽  
Vol 77 ◽  
pp. 1-27 ◽  
Author(s):  
Rachel Opitz
Keyword(s):  
Sono State ◽  
Light Detection And Ranging ◽  
Light Detection ◽  
Geophysical Surveys

La città romana di Falerii Novi e quella pre-romana di Falerii Veteres vengono riviste in questo articolo attraverso la combinazione di dati da ricognizione lidar (light detection and ranging) e geofisica. La ricognizione lidar fornisce per la prima volta infomiazioni dettagliate sui bordi topograficamente complessi di questi siti e ha permesso di identificare un certo numero di nuove strutture. Osservando tali strutture nel contesto dei dati topografici e geofisici, sono state esplorate le aree urbane periferiche sia come zone per movimento sia come facciate. Tramite questi esempi vengono considerati i potenziali contributi forniti dal lidar alla comprensione generale dell'urbanismo pre-romano e romano.

EVALUATION OF CIRCULARITY MEASUREMENT THROUGH LIMAÇON APPROXIMATION AND A LIGHT DETECTION AND RANGING (LiDAR) SYSTEM

2021 ◽  
Author(s):  
Vinicius Conti da Costa ◽  
Bruno Ziegler Haselein ◽  
Filipe Barbosa Veras ◽  
Manoel Kolling Dutra ◽  
Tiago Pinto
Keyword(s):  
Light Detection And Ranging ◽  
Lidar System ◽  
Light Detection
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