scholarly journals Surf Zone Mapping Using Multirotor Unmanned Aerial Vehicle Imagery

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Norhalim Che Mat ◽  
Khairul Nizam Tahar
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Surf Zone ◽  
Monsoon Season ◽  
Image Acquisition ◽  
Accurate Solution ◽  
Advanced Technology ◽  
Breaking Wave ◽  
Surface Mapping ◽  
Aerial Vehicle ◽  
Elevation Model

Surf zone is a sand area that stretches inside a breaking wave to limit the rise and fall of waves on the beach. Advanced technology in the geomatics field offers a fast and accurate solution to produce surf zone maps. The demand for surf zone map is increasing during the monsoon season, especially at coastal areas. Nowadays, the Unmanned Aerial Vehicle (UAV) or drone has become popular platform in the geospatial and surveying field. The aim of this study is to produce surf zone 3D surface mapping by using a multirotor Unmanned Aerial Vehicle. There are four phases in this study which are image acquisition, UAV image processing, photogrammetric results, and analysis. The image acquisition was solely obtained using a multirotor UAV based on the photogrammetric concept. The acquired UAV images were processed using commercial software with a specific workflow. Photogrammetric products such as digital elevation model, orthophoto, contour, and surf map zone were produced. The analyses of these results were conducted based on different epochs on the selected months. The accuracy for northing, easting, and height coordinates was 1.026m, 0.838m, and 0.419m, respectively. It can be concluded that the UAV was able to produce a surf zone map with reliable accuracy. This platform is very useful for fast decision making, especially during disaster incidents.

Assessment of Photogrammetric Micro Fixed-Wing Unmanned Aerial Vehicle (UAV) System For Image Acquisition of Coastal Area

2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Norhadija Darwin ◽  
Anuar Ahmad ◽  
Zulkarnaini Mat Amin ◽  
Othman Zainon
Keyword(s):  
High Resolution ◽  
Unmanned Aerial Vehicle ◽  
Coastal Area ◽  
Image Acquisition ◽  
Digital Camera ◽  
Image Resolution ◽  
Aerial Images ◽  
Conjugate Points ◽  
Coastal Mapping ◽  
Aerial Vehicle

Fast image acquisition is the most important part for societal impact of a developing country. This paper aims to demonstrate the potential use of micro fixed wing unmanned aerial vehicle (UAV) system attached with high resolution digital camera for coastal mapping. In this study, six strips of aerial images of coastal area was captured using a high resolution compact digital camera known as Canon Power Shot SX230 HS and it has 12 megapixel image resolution. From the aerial images, photogrammetric image processing method is completed to produce mapping outputs such a digital elevation model (DEM) and orthophoto. For accuracy assessment, the coordinates of the selected points in the 3D of stereomodel were compared to the conjugate points observed using GPS and the root mean square error (RMSE) is computed. From this study, the results showed that the achievable RMSE are ± 0.018m, ± 0.013m and ± 0.034m for coordinates X, Y and Z respectively. It will anticipate that the UAV will be used for coastal survey and improve current method of producing with low cost, fast and good accuracy. Finally, the UAV has shown great potential to be used for coastal mapping that require accurate results or products using high resolution camera. 

Low altitude 3 dimensional surface mapping use for Unmanned Aerial Vehicle

2012 ◽  
Author(s):  
Mohamad Farid Misnan ◽  
Nor Hashim Mohd Arshad ◽  
Ruhizan Liza Ahmad Shauri ◽  
Norashikin Noorfadzli Abd Razak ◽  
Mohd Thamrin ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Surface Mapping ◽  
3 Dimensional ◽  
Aerial Vehicle ◽  
Low Altitude ◽  
Dimensional Surface

Human Factors and Trainability of Piloting a Simulated Micro Unmanned Aerial Vehicle

2005 ◽  
Vol 49 (23) ◽  
pp. 2055-2059 ◽  
Author(s):  
John L. Neumann ◽  
Paula J. Durlach
Keyword(s):  
Human Factors ◽  
Unmanned Aerial Vehicle ◽  
Military Training ◽  
Touch Screen ◽  
Advanced Technology ◽  
Manual Control ◽  
Training Requirements ◽  
Systems Research ◽  
Camera Angle ◽  
Aerial Vehicle

In 2004, the U.S. Army Research Institute's (ARI) Simulator Systems Research Unit began studies involving the training requirements for operators of a micro-unmanned aerial vehicle (MAV). Our research involved the use of a touch-screen operator control interface developed for the DARPA MAV Advanced Technology Demonstration. This control system allowed operators to plan and run autonomous flight missions or to tele-operate a simulated MAV around a static synthetic environment. An initial study focused primarily on the usability of the system. Extensive heuristic evaluations were conducted by seven volunteers with backgrounds in human factors and military training systems. Each evaluator completed a self-paced training session including exercises that tested their ability to perform various control functions. Lack of immediate feedback from touch-screen inputs and missing or obscure status information formed the basis of several of the usability issues. Manually piloting the MAV presented the most difficulty to operators. As such, a second study was conducted that focused specifically on manual control tasks. In this study, participants were trained on manual control of the MAV, and then completed four increasingly difficult missions, requiring them to pilot the vehicle through the synthetic environment. This experiment was designed to compare the effect of supplemental sensor imagery on mission performance. During Study 1, operators could choose to view a sensor image taken from a fixed camera pointed 15 degrees below horizontal or straight down (90 degrees), but only one view was available at a time. During Study 2, operators were provided with three sensor views simultaneously. The 15-degree view was presented in a primary sensor window, and two additional views were displayed in smaller windows below it. The camera angle of one of these supplemental views was the manipulated independent variable — 30, 60, or 90 degrees from horizontal. The remaining window always contained an overhead satellite view (downward view from 5000 feet above the MAV). Data were collected on time to complete each mission, the number of physical interactions each user made with the interface, SME ratings, workload, and usability. Results indicated that mission requirements had a greater effect on performance and workload ratings than the camera angle of the supplemental view, though the camera angle of the supplemental view did affect mission time required to capture images of designated target buildings. Session averages of workload, usability, mission completion time, and SME rating were significantly inter-correlated. Higher SME ratings were associated with lower participant ratings of workload, shorter mission completion times, and higher usability ratings.

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