Precision Analysis of Point-and-Scale Photogrammetric  Measurements for Corridor Mapping: Preliminary Results

Molina, Pere; Blázquez, M.; Sastre, J.; Colomina, Ismael

doi:10.5194/isprs-archives-xl-3-w4-85-2016

Cited by 5 publications

(8 citation statements)

References 5 publications

(1 reference statement)

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“…The performance evaluation criteria in this benchmark is the precision of the estimated parameters in the block adjustment. KGCPs (down), as presented in (Molina et al, 2016) Our preliminary results show that the exterior orientation (EO), interior orientation (IO) and tie points (GP) precision estimates when using kinematic control are as good as conventional corridor configurations, that is, using large amount of static ground control along the corridor. The results were achieved for single-pass operation with no need for double-pass or multiple height missions, resulting in lower cost mission and time of operation.…”

Section: Simulations For Sensor Orientation and Calibrationmentioning

confidence: 99%

“…These three values are the input measurements for the extended collinearity equations with scale factor observations. The analysis of the contribution of these measurements to the parameter precision estimation in sensor orientation and calibration, together with its reliability, are reported in (Molina et al, 2016). …”

Section: Optical Metric Targetmentioning

confidence: 99%

“…Another advantage of KGCPs is that they can easily become traditional, static GCPs in the obvious way. Mathematical models to introduce scale factor measurements can be found in (Molina et al, 2016).…”

Section: The Mapkite Conceptmentioning

confidence: 99%

“…In (Molina et al, 2016), the first performance analysis of aerial image orientation and calibration in mapKITE for corridor mapping was performed, based on the principles and procedures of ISO -using tie point photogrammetric measurements, position aerial control and static ground control-and adding point-and-scale photogrammetric measurements of the KGCPs.…”

Section: Simulations For Sensor Orientation and Calibrationmentioning

confidence: 99%

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mapKITE: A NEW PARADIGM FOR SIMULTANEOUS AERIAL AND TERRESTRIAL GEODATA ACQUISITION AND MAPPING

Molina¹,

Blázquez²,

Sastre³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:We introduce a new mobile, simultaneous terrestrial and aerial, geodata collection and post-processing method: mapKITE. By combining two mapping technologies such as terrestrial mobile mapping and unmanned aircraft aerial mapping, geodata are simultaneously acquired from air and ground. More in detail, a mapKITE geodata acquisition system consists on an unmanned aircraft and a terrestrial vehicle, which hosts the ground control station. By means of a real-time navigation system on the terrestrial vehicle, real-time waypoints are sent to the aircraft from the ground. By doing so, the aircraft is linked to the terrestrial vehicle through a "virtual tether," acting as a "mapping kite."In the article, we entail the concept of mapKITE as well as the various technologies and techniques involved, from aircraft guidance and navigation based on IMU and GNSS, optical cameras for mapping and tracking, sensor orientation and calibration, etc. Moreover, we report of a new measurement introduced in mapKITE, that is, point-and-scale photogrammetric measurements [of image coordinates and scale] for optical targets of known size installed on the ground vehicle roof. By means of accurate posteriori trajectory determination of the terrestrial vehicle, mapKITE benefits then from kinematic ground control points which are photogrametrically observed by point-and-scale measures.Initial results for simulated configurations show that these measurements added to the usual Integrated Sensor Orientation ones reduce or even eliminate the need of conventional ground control points -therefore, lowering mission costs-and enable selfcalibration of the unmanned aircraft interior orientation parameters in corridor configurations, in contrast to the situation of traditional corridor configurations.Finally, we report about current developments of the first mapKITE prototype, developed under the European Union Research and Innovation programme Horizon 2020. The first mapKITE mission will be held at the BCN Drone Center (Collsuspina, Moià, Spain) in mid 2016.

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Section: Simulations For Sensor Orientation and Calibrationmentioning

confidence: 99%

Section: Optical Metric Targetmentioning

confidence: 99%

Section: The Mapkite Conceptmentioning

confidence: 99%

Section: Simulations For Sensor Orientation and Calibrationmentioning

confidence: 99%

See 2 more Smart Citations

mapKITE: A NEW PARADIGM FOR SIMULTANEOUS AERIAL AND TERRESTRIAL GEODATA ACQUISITION AND MAPPING

Molina¹,

Blázquez²,

Sastre³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

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“…This paper investigates the mapKITE paradigm for sensor orientation of aerial images in corridors and gives continuity to previous research, where the authors assessed the precision and reliability of the newly proposed orientation approach in a simulated environment, as compared to conventional Integrated Sensor Orientation (ISO), especially targeting the elimination of GCPs as a direct consequence of the mapKITE Kinematic Ground Control Points (KGCPs) [8]. In the current contribution, the authors enhance the previous analysis in the context of a real mapKITE mission performed in June 2016 and include accuracy assessment with ground check points.…”

Section: Introductionmentioning

confidence: 99%

First Results of a Tandem Terrestrial-Unmanned Aerial mapKITE System with Kinematic Ground Control Points for Corridor Mapping

Molina¹,

Blázquez²,

Cucci

et al. 2017

Remote Sensing

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Abstract:In this article, we report about the first results of the mapKITE system, a tandem terrestrial-aerial concept for geodata acquisition and processing, obtained in corridor mapping missions. The system combines an Unmanned Aerial System (UAS) and a Terrestrial Mobile Mapping System (TMMS) operated in a singular way: real-time waypoints are computed from the TMMS platform and sent to the UAS in a follow-me scheme. This approach leads to a simultaneous acquisition of aerial-plus-ground geodata and, moreover, opens the door to an advanced post-processing approach for sensor orientation. The current contribution focuses on analysing the impact of the new, dynamic Kinematic Ground Control Points (KGCPs), which arise inherently from the mapKITE paradigm, as an alternative to conventional, costly Ground Control Points (GCPs). In the frame of a mapKITE campaign carried out in June 2016, we present results entailing sensor orientation and calibration accuracy assessment through ground check points, and precision and correlation analysis of self-calibration parameters' estimation. Conclusions indicate that the mapKITE concept eliminates the need for GCPs when using only KGCPs plus a couple of GCPs at each corridor end, achieving check point horizontal accuracy of µ E,N ≈ 1.7 px (3.4 cm) and µ h ≈ 4.3 px (8.6 cm). Since obtained from a simplified version of the system, these preliminary results are encouraging from a future perspective.

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Corridor Mapping of Sandy Coastal Foredunes with UAS Photogrammetry and Mobile Laser Scanning

Nahon

Molina²,

Blázquez³

et al. 2019

Remote Sensing

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Recurrent monitoring of sandy beaches and of the dunes behind them is needed to improve the scientific knowledge on their dynamics as well as to develop sustainable management practices of those valuable landforms. Unmanned Aircraft Systems (UAS) are sought as a means to fulfill this need, especially leveraged by photogrammetric and LiDAR-based mapping methods and technology. The present study compares different strategies to carry UAS photogrammetric corridor mapping over linear extensions of sandy shores. In particular, we present results on the coupling of a UAS with a mobile laser scanning system, operating simultaneously in Cap Ferret, SW France. This aerial-terrestrial tandem enables terrain reconstruction with kinematic ground control points, thus largely avoiding the deployment of surveyed ground control points on the non-stable sandy ground. Results show how these three techniques-mobile laser scanning, photogrammetry based on ground control points, and photogrammetry based on kinematic ground control points-deliver accurate (i.e., root mean square errors < 15 cm) 3D reconstruction of beach-to-dune transition areas, the latter being performed at lower survey and logistic costs, and with enhanced spatial coverage capabilities. This study opens the gate for exploring longer (hundreds of kilometers) shoreline dynamics with ground-control-point-free air and ground mapping techniques.coverage [11]. Indeed, spatial coverage of airborne LiDAR is unmatched [4]. Nonetheless, it involves technological, operational and logistic costs that prevent fast acquisition of pre-and post-storm data for instance. On the other hand, UAS photogrammetric surveys [10,12] are easier to perform, and incorporating post-processed or real-time differential GNSS processing techniques (PPK/RTK) and low-cost, low-to-medium tactical grade Inertial Measurement Units (IMU) implies a reduction in the use of surveyed Ground Control Points (GCPs) [13,14]. However, concerning linear coastal landforms, GCPs remain largely necessary to mitigate accuracy degradation along the corridor, i.e., "bowl effects" [15,16]. This constraint hampers the use of UAS over hundreds of kilometers of shore, as for instance, to survey long sandy beaches after storms [17].Over the last decade, Mobile Laser Scanning (MLS) has emerged as a credible alternative for surveying coastal beaches and foredunes [18][19][20][21]. MLS mainly consist of one or several terrestrial laser scanners mounted on a moving vehicle together with a medium-to-high grade GNSS or IMU/GNSS system. Along the vehicle path, scanners collect 3D point clouds with an accuracy comparable to airborne LiDAR standards at reduced technological and logistic costs. Typical achieved point cloud densities are over 100 points per m 2 , therefore offering a valuable opportunity to study foredune growth with high resolution [20]. Yet, from a coverage standpoint, steep dune slopes create shadow areas and leave large portions of the dune top unscanned. This limitation gives rise to one of the core value proposit...

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Precision Analysis of Point-and-Scale Photogrammetric Measurements for Corridor Mapping: Preliminary Results

Cited by 5 publications

References 5 publications

mapKITE: A NEW PARADIGM FOR SIMULTANEOUS AERIAL AND TERRESTRIAL GEODATA ACQUISITION AND MAPPING

mapKITE: A NEW PARADIGM FOR SIMULTANEOUS AERIAL AND TERRESTRIAL GEODATA ACQUISITION AND MAPPING

First Results of a Tandem Terrestrial-Unmanned Aerial mapKITE System with Kinematic Ground Control Points for Corridor Mapping

Corridor Mapping of Sandy Coastal Foredunes with UAS Photogrammetry and Mobile Laser Scanning

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