scholarly journals A Low Cost Approach to Disturbed Soil Detection Using Low Altitude Digital Imagery from an Unmanned Aerial Vehicle

Drones ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 50
Author(s):  
Elizabeth Parrott ◽  
Heather Panter ◽  
Joanne Morrissey ◽  
Frederic Bezombes
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Low Cost ◽  
Preliminary Investigation ◽  
Digital Imagery ◽  
Disturbed Soil ◽  
Clandestine Graves ◽  
Aerial Vehicle ◽  
Low Altitude ◽  
Witness Statements

Until recently, clandestine burial investigations relied upon witness statements to determine target search areas of soil and vegetation disturbance. Due to this, remote sensing technologies are increasingly used to detect fresh clandestine graves. However, despite the increased capabilities of remote sensing, clandestine burial searches remain resourcefully intensive as the police have little access to the technology when it is required. In contrast to this, Unmanned Aerial Vehicle (UAV) technology is increasingly popular amongst law enforcement worldwide. As such, this paper explores the use of digital imagery collected from a low cost UAV for the aided detection of disturbed soil sites indicative of fresh clandestine graves. This is done by assessing the unaltered UAV video output using image processing tools to detect sites of disturbance, therefore highlighting previously unrecognised capabilities of police UAVs. This preliminary investigation provides a low cost rapid approach to detecting fresh clandestine graves, further supporting the use of UAV technology by UK police.

scholarly journals Advantage and Application of Unmanned Aerial Vehicle Remote Sensing in Engineering Survey

2020 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Qing Yan
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Good Imaging ◽  
Collection Data ◽  
Aerial Vehicle ◽  
Good Measurement ◽  
Engineering Survey ◽  
Low Altitude ◽  
High Work ◽  
Measurement Area

<p>Unmanned aerial vehicle remote sensing can fly at low altitude, shoot high-pixel, good-imaging images, and quickly acquire the geographic characteristics of the measurement area. It has the advantages of high periodic service quality, high work efficiency, wide monitoring range and good monitoring effect when applied in engineering survey. Unmanned aerial vehicle remote sensing has played a great role in the field of engineering survey, which can achieve data collection, data analysis and other work. At the same time, it can also obtain geographic information of the survey area in harsh environment, which has fast measurement speed and good measurement accuracy, and has very good application and development value.</p>

scholarly journals A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China

2021 ◽  
Vol 13 (6) ◽  
pp. 1221
Author(s):  
Haidong Zhang ◽  
Lingqing Wang ◽  
Ting Tian ◽  
Jianghai Yin
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Precision Agriculture ◽  
Spatial Information ◽  
Remote Sensing Data ◽  
Current Application ◽  
Rapid Acquisition ◽  
Aerial Vehicle ◽  
Low Altitude ◽  
Future Work

Precision agriculture relies on the rapid acquisition and analysis of agricultural information. An emerging method of agricultural monitoring is unmanned aerial vehicle low-altitude remote sensing (UAV-LARS), which possesses significant advantages of simple construction, strong mobility, and high spatial-temporal resolution with synchronously obtained image and spatial information. UAV-LARS could provide a high degree of overlap between X and Y during key crop growth periods that is currently lacking in satellite and remote sensing data. Simultaneously, UAV-LARS overcomes the limitations such as small scope of ground platform monitoring. Overall, UAV-LARS has demonstrated great potential as a tool for monitoring agriculture at fine- and regional-scales. Here, we systematically summarize the history and current application of UAV-LARS in Chinese agriculture. Specifically, we outline the technical characteristics and sensor payload of the available types of unmanned aerial vehicles and discuss their advantages and limitations. Finally, we provide suggestions for overcoming current limitations of UAV-LARS and directions for future work.

scholarly journals Autonomous, Onboard Vision-Based Trash and Litter Detection in Low Altitude Aerial Images Collected by an Unmanned Aerial Vehicle

2021 ◽  
Vol 13 (5) ◽  
pp. 965
Author(s):  
Marek Kraft ◽  
Mateusz Piechocki ◽  
Bartosz Ptak ◽  
Krzysztof Walas
Keyword(s):  
Neural Networks ◽  
Unmanned Aerial Vehicle ◽  
Low Cost ◽  
Detection Algorithm ◽  
Aerial Images ◽  
Detection Accuracy ◽  
Deep Convolutional Neural Networks ◽  
Domain Specific ◽  
Aerial Vehicle ◽  
Low Altitude

Public littering and discarded trash are, despite the effort being put to limit it, still a serious ecological, aesthetic, and social problem. The problematic waste is usually localised and picked up by designated personnel, which is a tiresome, time-consuming task. This paper proposes a low-cost solution enabling the localisation of trash and litter objects in low altitude imagery collected by an unmanned aerial vehicle (UAV) during an autonomous patrol mission. The objects of interest are detected in the acquired images and put on the global map using a set of onboard sensors commonly found in typical UAV autopilots. The core object detection algorithm is based on deep, convolutional neural networks. Since the task is domain-specific, a dedicated dataset of images containing objects of interest was collected and annotated. The dataset is made publicly available, and its description is contained in the paper. The dataset was used to test a range of embedded devices enabling the deployment of deep neural networks for inference onboard the UAV. The results of measurements in terms of detection accuracy and processing speed are enclosed, and recommendations for the neural network model and hardware platform are given based on the obtained values. The complete system can be put together using inexpensive, off-the-shelf components, and perform autonomous localisation of discarded trash, relieving human personnel of this burdensome task, and enabling automated pickup planning.

scholarly journals Preliminary analysis of the forest health state based on multispectral images acquired by Unmanned Aerial Vehicle

2015 ◽  
Vol 57 (3) ◽  
pp. 138-144 ◽  
Author(s):  
Paweł Czapski ◽  
Mariusz Kacprzak ◽  
Jan Kotlarz ◽  
Karol Mrowiec ◽  
Katarzyna Kubiak ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Forest Health ◽  
Growing Season ◽  
Landsat 8 ◽  
Health State ◽  
Multispectral Images ◽  
Landsat 8 Oli ◽  
Aerial Vehicle ◽  
Low Altitude

Abstract The main purpose of this publication is to present the current progress of the work associated with the use of a lightweight unmanned platforms for various environmental studies. Current development in information technology, electronics and sensors miniaturisation allows mounting multispectral cameras and scanners on unmanned aerial vehicle (UAV) that could only be used on board aircraft and satellites. Remote Sensing Division in the Institute of Aviation carries out innovative researches using multisensory platform and lightweight unmanned vehicle to evaluate the health state of forests in Wielkopolska province. In this paper, applicability of multispectral images analysis acquired several times during the growing season from low altitude (up to 800m) is presented. We present remote sensing indicators computed by our software and common methods for assessing state of trees health. The correctness of applied methods is verified using analysis of satellite scenes acquired by Landsat 8 OLI instrument (Operational Land Imager).

Processing and Mosaicing System of Civil Unmanned Aerial Vehicle Remote Sensing Image

2014 ◽  
Vol 989-994 ◽  
pp. 3548-3551
Author(s):  
Ying Yang ◽  
Li Jun Wang ◽  
Lei Yang
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Control Points ◽  
Digital Cameras ◽  
Practical Application ◽  
Aerial Vehicle ◽  
Interactive Data ◽  
Low Altitude ◽  
Lower Magnitude ◽  
Selection Of

With combining Unmanned Aerial Vehicle (UAV) and the high-precision of the low altitude Remote Sensing (RS) technology, UAV RS technology has become an important compleme-nt for satellite and manned aircraft RS, so it has drawn great attention of people at home and abroad. Most of UAV RS image technologies use small digital cameras to shoot so that it causes some proble-ms such as lower magnitude, more and larger morphing image. The image processing and mosaicing system of UAV RS implements the function of image identifying, selection of image group control points, geometric correction, mosaicing, seam lines eliminating automatically and rapidly with Interactive Data Language (IDL), and is targeted to solve the practical application problems such as preprocessing, mosaicing, seam-lines removing of civil UAV RS image.

Development of the navigation complex structure for a high-precision unmanned aerial vehicle for flight in the atmosphere

2020 ◽  
Keyword(s):  
Mathematical Modeling ◽  
Unmanned Aerial Vehicle ◽  
High Precision ◽  
Kalman Filters ◽  
Inertial Navigation System ◽  
Complex Structure ◽  
Navigation Systems ◽  
Aerial Vehicle ◽  
Low Altitude ◽  
System Errors

The navigation systems as part of the navigation complex of a high-precision unmanned aerial vehicle in conditions of different altitude flight are investigated. The working contours of the navigation complex with correction algorithms for an unmanned aerial vehicle during high-altitude and low-altitude flights are formed. Mathematical models of inertial navigation system errors used in non-linear and linear Kalman filters are presented. The results of mathematical modeling demonstrate the effectiveness of the working contours effectiveness of the navigation complex with correction algorithms. Keywords high-precision unmanned aerial vehicle; navigation complex; multi-altitude flight; work circuit; passive noises; Kalman filter; correction

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