2D Orientation Accuracy of Göktürk-1 Panchromatic Imagery

Aytekin, Gürsu; Topan, Hüseyin; Elkar, Yunus Emre; Kisi, Metehan; Erisik, Onur

doi:10.1109/rast.2019.8767879

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…The sensor independent orientation models of GeoTransform are similarity (Helmert), 2 Dimensional (2D) polynomial, affine projective, projective, DLT and sensor independent (terrain dependent) RFM. Its MATLAB version has also the sensor dependent (terrain independent) RFM, and various matrix inversion and regularization methods to solve ill-posed problem (Aytekin, Topan, Elkar, Kisi, & Erisik, 2019). The simplest model is similarity transformation assuming ground space in 2D.…”

Section: Sensor Orientation Modelsmentioning

confidence: 99%

GeoEtrim 2020 executed version: an academic software for geospatial image evaluation

Elkar¹,

Topan²

2021

J Geod Geoinf

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GeoEtrim (Geospatial Evaluation and Training of Images) is a set of academic software packages to evaluate optical images geospatially. Although GeoEtrim was developed in the MATLAB environment in the past, it was decided to be compiled in another programming language (C#) in order to overcome the challenges like importing/reading very big sized image files, collecting Ground Control Point (GCP) and Independent Check Point (ICP) in an easy way and running the orientation models, etc. Creating projects, importing image(s), enhancing the image contrast, collecting GCP&ICP and running sensor independent orientation models through subpackage GeoTransform are the major opportunities of the current version. In addition, GeoTransform itself enables blunder and parameter validation tests. GeoEtrim can also be used free-of-charge for academic purposes; therefore, its user community increases rapidly. This paper focus on both theoretical background and graphical user interface of GeoEtrim 2020 executed version.

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Section: Sensor Orientation Modelsmentioning

confidence: 99%

GeoEtrim 2020 executed version: an academic software for geospatial image evaluation

Elkar¹,

Topan²

2021

J Geod Geoinf

Self Cite

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“…Their images were also analysed for the pixel and object based classi cation performance by [11] in Çaycuma district of Zonguldak (Türkiye) test site. The authors of this article assessed the same images using various kinds of sensor dependent and independent orientation models for estimating the 2D georeferencing accuracy in the Zonguldak test site [12]. Besides, the primary evaluation using the existing GCP/ICP sets were carried out by [13] and [14].…”

Section: Introductionmentioning

confidence: 99%

Unlocking the 3D georeferencing accuracy potential of Göktürk-1 tri-stereo panchromatic level 2A images by sensor-dependent orientation model

Aytekin¹,

Topan

2023

Preprint

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The panchromatic tri-stereo images of Göktürk-1, the first sub-meter optical remote sensing satellite of Türkiye, was assessed with respect to 3D georeferencing accuracy using sensor-dependent orientation model. The investigated panchromatic images were acquired in tri-stereo mode with 50 cm ground sampling distance at nadir-view, covering Zonguldak (Türkiye) test site. The sensor-dependent orientation model developed for the Pléiades 1A/1B/Neo and SPOT 6/7 satellites were preferred since the characteristics of Göktürk-1’s imaging geometry was identical with them. Two GCP/ICP sets (50/9 and 44/15) were established by in-field GNSS survey, and adjusted georeferencing accuracy were estimated almost millimetre and ~ ± 50 cm ( ~ ± 1 GSD) at GCPs and ICPs, respectively. All process was carried out by Geo3o1 tool of GeoEtrim derived in MATLAB environment.

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“…Most current research focuses on observation projects, such as urban railway control network designs [14,15], landslide warnings [16][17][18][19], high fill settlements [20][21][22], ground deformation [23][24][25], and crustal movement [26][27][28][29], achieving good technical results. Fewer studies have addressed GNSS ground deformation along subway lines and GNSS technology is affected by errors, such as satellite ephemeris, tropospheric delay, and multipath effect errors.…”

Section: Introductionmentioning

confidence: 99%

Ground Deformation Monitoring for Subway Structure Safety Based on GNSS

Tan,

Li,

et al. 2023

Buildings

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Ground deformation poses a serious threat to the safety of subway structures. Consequently, intelligent and efficient automated safety monitoring of ground deformation along the subway has become urgent. Traditional engineering observation methods have the disadvantages of difficulties with datum selection, non-automation, and poor reliability. A ground deformation monitoring system for subway structure safety based on the Global Navigation Satellite System (GNSS) was established and validated through experimental comparisons with traditional precision leveling in this study. Based on the GNSS monitoring points, the continuous kinematic observation GNSS data of ground deformation along the subway line were obtained; a joint robust local mean decomposition (RLMD)–singular value decomposition (SVD) noise-reduction processing method for GNSS signals was proposed to realize the real-time and high-precision monitoring of ground deformation. The results show that the proposed combined noise-reduction method can reduce the maximum noise amplitude by 86%. When compared with the accuracy of the traditional precision leveling method, it was determined that the vertical positioning accuracy of the deformation monitoring system is greater than 2.7 mm, the horizontal positioning accuracy is greater than 1.3 mm, and the measurement error is less than 1.5 mm. The deformation monitoring system has the advantages of convenience, automation, and high accuracy and can be applied to ground deformation monitoring for subway structures.

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2D Orientation Accuracy of Göktürk-1 Panchromatic Imagery

Cited by 5 publications

References 6 publications

GeoEtrim 2020 executed version: an academic software for geospatial image evaluation

GeoEtrim 2020 executed version: an academic software for geospatial image evaluation

Unlocking the 3D georeferencing accuracy potential of Göktürk-1 tri-stereo panchromatic level 2A images by sensor-dependent orientation model

Ground Deformation Monitoring for Subway Structure Safety Based on GNSS

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