Comparison of four UAV georeferencing methods for environmental monitoring purposes focusing on the combined use with airborne and satellite remote sensing platforms

Padró, Joan-Cristian; Muñoz, Francisco Javier Polanco; Planas, Jordi; Pons, Xavier

doi:10.1016/j.jag.2018.10.018

Cited by 134 publications

(93 citation statements)

References 23 publications

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“…The extensive field work provided the necessary number of ground control points for the accurate georeferencing of the UAV data in order to combine them with the other remote sensing data. This is fully in accordance with previous studies [89,90] that noted that the registration of UAV imagery with any other remote sensing coarser product depends on the use of ground control points that succeed in highly accurate georeferencing. However, the requirements of this procedure are by far more demanding in time and ground support [89].…”

Section: Discussionsupporting

confidence: 92%

Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

Nikolakopoulos

Kyriou

Koukouvelas

et al. 2019

IJGI

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Coastline evolution is a proxy of coastal erosion, defined as the wasting of land along the shoreline due to a combination of natural and/or human causes. For countries with a sea border, where a significant proportion of the population lives in coastal areas, shoreline retreat has become a very serious global problem. Remote sensing data and photogrammetry have been used in coastal erosion mapping for many decades. In the current study, multi-date analogue aerial photos, digital aerial photos, and declassified satellite imagery provided by the U.S. Geological Survey (USGS), Pleiades satellite data, and unmanned aerial vehicle images were combined for accurate mapping of the southwestern Lefkada (Ionian Sea, Greece) coastline over the last 73 years. Different photogrammetric techniques were used for the orthorectifation of the remote sensing data, and geographical information systems were used in order to calculate the rates of shoreline change. The results indicated that the southwest shoreline of Lefkada Island is under dynamic equilibrium. This equilibrium is strongly controlled by geological parameters, such as subsidence of the studied shoreline during co-seismic deformation and mass wasting. The maximum accretion rate was calculated at 0.55 m per year, while the respective erosion rate reached −1.53 m per year.

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Section: Discussionsupporting

confidence: 92%

Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

Nikolakopoulos

Kyriou

Koukouvelas

et al. 2019

IJGI

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“…Multiple UAVs can be deployed to fly over a targeted region and to perform surveillance, detection, and monitoring. The UAVs use sensors and cameras to capture real-time images, audios, and videos at remote and difficult-to-access areas and send the data to a BS immediately [62]. Subsequently, the BS processes the data and generates messages, such as alert messages upon the detection of a disturbance or an event [63].…”

Section: What Are the Roles Of Fanets?mentioning

confidence: 99%

“…The multi-UAV scenario has a significant impact to human life and activities [64]. For instance, the use of the multi-UAV scenario to detect and monitor wildfire is foreseen to reduce the current 340,000 cases of casualties and the $10 million USD cost annually [62,65].…”

Section: What Are the Roles Of Fanets?mentioning

confidence: 99%

Routing Schemes in FANETs: A Survey

Khan

Yau

Noor

et al. 2019

Sensors

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Flying ad hoc network (FANET) is a self-organizing wireless network that enables inexpensive, flexible, and easy-to-deploy flying nodes, such as unmanned aerial vehicles (UAVs), to communicate among themselves in the absence of fixed network infrastructure. FANET is one of the emerging networks that has an extensive range of next-generation applications. Hence, FANET plays a significant role in achieving application-based goals. Routing enables the flying nodes to collaborate and coordinate among themselves and to establish routes to radio access infrastructure, particularly FANET base station (BS). With a longer route lifetime, the effects of link disconnections and network partitions reduce. Routing must cater to two main characteristics of FANETs that reduce the route lifetime. Firstly, the collaboration nature requires the flying nodes to exchange messages and to coordinate among themselves, causing high energy consumption. Secondly, the mobility pattern of the flying nodes is highly dynamic in a three-dimensional space and they may be spaced far apart, causing link disconnection. In this paper, we present a comprehensive survey of the limited research work of routing schemes in FANETs. Different aspects, including objectives, challenges, routing metrics, characteristics, and performance measures, are covered. Furthermore, we present open issues.

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“…Combining multimodal IR and VIS images with 3D data is normally used in the analysis of data collected by drones. It is common practice to create a georeferenced orthophoto map from VIS images and to map IR data to VIS using GPS [3][4][5]. In some cases, the GPS position may not be accurate enough to properly register the images or, because of interference, may not be available at all [3].…”

Section: Ir-vis Image Registrationmentioning

confidence: 99%

“…In some cases, the GPS position may not be accurate enough to properly register the images or, because of interference, may not be available at all [3]. The registration of IR and VIS data can be improved using well-defined markers (i.e., ground control points, GCPs) that are detectable in both modalities and whose positions must be accurately determined in space [4]. This approach, like the previous one, requires an orthophoto map to be generated beforehand, which makes it unsuitable for online use.…”

Section: Ir-vis Image Registrationmentioning

confidence: 99%

Online Correction of the Mutual Miscalibration of Multimodal VIS–IR Sensors and 3D Data on a UAV Platform for Surveillance Applications

et al. 2019

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Unmanned aerial vehicles (UAVs) are widely used to protect critical infrastructure objects, and they are most often equipped with one or more RGB cameras and, sometimes, with a thermal imaging camera as well. To obtain as much information as possible from them, they should be combined or fused. This article presents a situation in which data from RGB (visible, VIS) and thermovision (infrared, IR) cameras and 3D data have been combined in a common coordinate system. A specially designed calibration target was developed to enable the geometric calibration of IR and VIS cameras in the same coordinate system. 3D data are compatible with the VIS coordinate system when the structure from motion (SfM) algorithm is used. The main focus of this article is to provide the spatial coherence between these data in the case of relative camera movement, which usually results in a miscalibration of the system. Therefore, a new algorithm for the detection of sensor system miscalibration, based on phase correlation with automatic calibration correction in real time, is introduced.

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Comparison of four UAV georeferencing methods for environmental monitoring purposes focusing on the combined use with airborne and satellite remote sensing platforms

Cited by 134 publications

References 23 publications

Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

Routing Schemes in FANETs: A Survey

Online Correction of the Mutual Miscalibration of Multimodal VIS–IR Sensors and 3D Data on a UAV Platform for Surveillance Applications

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