Aerial imaging and reconstruction of infrastructures by UAVs

2020 ◽  
pp. 157-176
Author(s):  
Christoforos Kanellakis ◽  
Sina Sharif Mansouri ◽  
Emil Fresk ◽  
Dariusz Kominiak ◽  
George Nikolakopoulos
Keyword(s):  
Aerial Imaging

scholarly journals Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

2021 ◽  
Vol 13 (7) ◽  
pp. 1238
Author(s):  
Jere Kaivosoja ◽  
Juho Hautsalo ◽  
Jaakko Heikkinen ◽  
Lea Hiltunen ◽  
Pentti Ruuttunen ◽  
...  
Keyword(s):  
Reference Data ◽  
Measurement Techniques ◽  
Synthetic Data ◽  
Ground Truth ◽  
Precision Farming ◽  
Aerial Imaging ◽  
Aerial Vehicle ◽  
Uav Images ◽  
Reference Measurements

The development of UAV (unmanned aerial vehicle) imaging technologies for precision farming applications is rapid, and new studies are published frequently. In cases where measurements are based on aerial imaging, there is the need to have ground truth or reference data in order to develop reliable applications. However, in several precision farming use cases such as pests, weeds, and diseases detection, the reference data can be subjective or relatively difficult to capture. Furthermore, the collection of reference data is usually laborious and time consuming. It also appears that it is difficult to develop generalisable solutions for these areas. This review studies previous research related to pests, weeds, and diseases detection and mapping using UAV imaging in the precision farming context, underpinning the applied reference measurement techniques. The majority of the reviewed studies utilised subjective visual observations of UAV images, and only a few applied in situ measurements. The conclusion of the review is that there is a lack of quantitative and repeatable reference data measurement solutions in the areas of mapping pests, weeds, and diseases. In addition, the results that the studies present should be reflected in the applied references. An option in the future approach could be the use of synthetic data as reference.

UAV Autopilot Design for the AUVSI, UAS International Competition

2009 ◽  
Author(s):  
Muhammad M. Mahmood ◽  
Md S. Chowdhury ◽  
Rizwan Ihsan ◽  
Umar M. Yousaf ◽  
Mohamed W. Afifi ◽  
...  
Keyword(s):  
Undergraduate Students ◽  
Flight Control ◽  
Computer Network ◽  
Imaging System ◽  
Aircraft Design ◽  
Unmanned Aircraft ◽  
American University ◽  
Ground Station ◽  
Aerial Imaging ◽  
Safety Features

This paper provides an overview of the first participation of the design developed by the undergraduate students of American University of Sharjah to meet the requirements laid forth in the 2008 Association for Unmanned Vehicle Systems International (AUVSI) Student UAS competition. The overall objective of the competition is to fly autonomously over a GPS waypoint defined route and also to identify and locate ground based targets within a confined area. To meet the objectives an unmanned aircraft is equipped with autonomous functionality and aerial imaging system. A ground station and supportive software to keep track of the aircraft routine and log the raw data gained from the flight is also designed. Achieving complete success depends upon mission elements which include autonomous take-off and landing, autonomous control and waypoint navigation. The onboard equipment used was a flight control computer network, IMU, GPS, an air data system and a camera. Additionally, safety features such as manual override was also installed. Presented in this report are aircraft design and testing, the processes involved in accomplishing the goal, and the results and achievements.

Adaptive Prediction Methods for Medical Image/Video compression for Telemedicine Application

2021 ◽  
pp. 319-344
Author(s):  
Ketki C. Pathak ◽  
Jignesh N. Sarvaiya ◽  
Anand D. Darji
Keyword(s):  
Video Compression ◽  
Medical Images ◽  
Rapid Development ◽  
Predictive Coding ◽  
Available Bandwidth ◽  
High Data ◽  
Telemedicine Application ◽  
Aerial Imaging ◽  
Magnetic Resonance Imaging Mri ◽  
Spatial Redundancy

Due to rapid development of multimedia communication and advancement of image acquisition process, there is a crucial requirement of high storage and compression techniques to mitigate high data rate with limited bandwidth scenario for telemedicine application. Lossless compression is one of the challenging tasks in applications like medical, space, and aerial imaging field. Apart from achieving high compression ratio, in these mentioned applications there is a need to maintain the original imaging quality along with fast and adequate processing. Predictive coding was introduced to remove spatial redundancy. The accuracy of predictive coding is based on the choice of effective and adaptive predictor which is responsible for removing spatial redundancy. Medical images like computed tomography (CT) and magnetic resonance imaging (MRI) consume huge storage and utilize maximum available bandwidth. To overcome these inherent challenges, the authors have reviewed various adaptive predictors and it has been compared with existing JPEG and JPEG LS-based linear prediction technique for medical images.

Autofocus Method of Aerial Imaging Device

2010 ◽  
Vol 30 (1) ◽  
pp. 105-108 ◽  
Author(s):  
周九飞 Zhou Jiufei ◽  
翟林培 Zhai Linpei ◽  
周刚 Zhou Gang ◽  
冷雪 Leng Xue ◽  
陈浠惠 Chen Xihui
Keyword(s):  
Imaging Device ◽  
Aerial Imaging

scholarly journals Comparison of Divergence Angle of Retro-Reflectors and Sharpness with Aerial Imaging by Retro-Reflection (AIRR)

2017 ◽  
Vol E100.C (11) ◽  
pp. 958-964 ◽  
Author(s):  
Norikazu KAWAGISHI ◽  
Kenta ONUKI ◽  
Hirotsugu YAMAMOTO
Keyword(s):  
Divergence Angle ◽  
Aerial Imaging

Low-cost aerial imaging for small holder farmers

2019 ◽  
Author(s):  
Aditya Jain ◽  
Anirudh Badam ◽  
Gireeja Ranade ◽  
Sudipta Sinha ◽  
Akshay Uttama Nambi S N ◽  
...  
Keyword(s):  
Low Cost ◽  
Aerial Imaging ◽  
Small Holder Farmers ◽  
Small Holder

scholarly journals Workflow: From photo-based 3-D reconstruction of remotely piloted aircraft images to a 3-D geological model

Geosphere ◽  
2019 ◽  
Vol 15 (4) ◽  
pp. 1393-1408 ◽  
Author(s):  
Reuben J. Hansman ◽  
Uwe Ring
Keyword(s):  
Remote Sensing ◽  
United Arab Emirates ◽  
Low Cost ◽  
Three Dimensional ◽  
Point Clouds ◽  
Geological Mapping ◽  
Geological Model ◽  
Geological Processes ◽  
Aerial Imaging ◽  
Remotely Piloted Aircraft

AbstractGeological field mapping is a vital first step in understanding geological processes. During the 20th century, mapping was revolutionized through advances in remote sensing technology. With the recent availability of low-cost remotely piloted aircraft (RPA), field geologists now routinely carry out aerial imaging without the need to use satellite, helicopter, or airplane systems. RPA photographs are processed by photo-based three-dimensional (3-D) reconstruction software, which uses structure-from-motion and multi-view stereo algorithms to create an ultra-high-resolution, 3-D point cloud of a region or target outcrop. These point clouds are analyzed to extract the orientation of geological structures and strata, and are also used to create digital elevation models and photorealistic 3-D models. However, this technique has only recently been used for structural mapping. Here, we outline a workflow starting with RPA data acquisition, followed by photo-based 3-D reconstruction, and ending with a 3-D geological model. The Jabal Hafit anticline in the United Arab Emirates was selected to demonstrate this workflow. At this anticline, outcrop exposure is excellent and the terrain is challenging to navigate due to areas of high relief. This makes for an ideal RPA mapping site and provides a good indication of how practical this method may be for the field geologist. Results confirm that RPA photo-based 3-D reconstruction mapping is an accurate and cost-efficient remote sensing method for geological mapping.

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