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KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ

Year 2018, , 649 - 660, 31.07.2018
https://doi.org/10.28948/ngumuh.404265

Abstract



  
Trafik
akışının yoğun ve ölçülecek detayların fazla olduğu karayolu şehir merkezi
geçişlerinde yersel yöntemlerle sayısal arazi modeli üretimi, zaman ve maliyet
açısından olumsuzluk getirmektedir. Farklı becerilere sahip ölçüm araçlarını
taşıyabilen ve maliyetleri düşüş eğiliminde olan insansız hava araçları (İHA), ortofoto
ve sayısal arazi modeli üretimi için etkili sistemlerdir. Bu çalışmada, GNSS-IMU destekli bir
İHA ve Structure From Motion (SFM) algoritması kullanılarak 700 metrelik
karayolu koridorunun 4,9 cm mekânsal çözünürlüklü ortofoto görüntüsü ve nokta
bulutu elde edilmiştir. Elde edilen nokta bulutuna Cloth Simulation Filtering
(CSF) ve Gaussian filtreleme yöntemleri uygulandıktan sonra test karayolu
koridorunun sayısal arazi modeli elde edilmiştir. İHA sisteminin doğruluğu
yersel yöntem ile test edilmiş, İHA yönteminin sert satıhlı zeminlerde 3,96 cm,
toprak zeminlerde 7,32 cm düşey doğrulukla 3B veri üretebileceği belirlenmiştir.
Elde edilen sonuçlar, İHA sistemlerinin fotogrametrik ölçümlere engel
bir detay içermeyen düz arazi yapılı karayolu koridorlarında ortofoto görüntü
ve sayısal arazi modeli üretiminde oldukça etkili olduğunu göstermektedir.


References

  • [1] KARKINLI, A.E., KESİKOĞLU, A., KESİKOĞLU, M.H., ATASEVER, U.H., ÖZKAN, C., BEŞDOK, E., “İnsansız Hava Araçları ile Sayısal Arazi Modeli Üretimi”, Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği (TUFUAB)VIII. Sempozyumu, 21-23 Mayıs, Konya, Türkiye, 2015.
  • [2] EISENBEISS, H., SAUERBIER, M., “Investigation of UAV Systems and Flight Modes for Photogrammetric Applications”, The Photogrammetric Record, 26(136), 400-421, 2011.
  • [3] VEGA, F.A., RAMIREZ, F.C., SAIZ, P.S., ROSUA, F.O., “Multi-temporal Imaging Using an Unmanned Aerial Vehicle for Monitoring a Sunflower Crop”, Biosystems Engineering, 132, 19-27, 2015.
  • [4] YU, N., LI, L., SCHMITZ, N., TIAN, L.F., GREENBERG, J.A., DIERS, B.W., “Development of Methods to Improve Soybean Yield Estimation and Predict Plant Maturity with an Unmanned Aerial Vehicle Based Platform”, Remote Sensing of Environment, 187, 91-101, 2016.
  • [5] MESSINGER, M., SILMAN, M., “Unmanned Aerial Vehicles for the Assessment and Monitoring of Environmental Contamination: An Example from Coal Ash Spills”, Environmental Pollution, 218, 889-894, 2016.
  • [6] CHIABRANDO, F., NEX, F., PIATTI, D., RINAUDO, F., “UAV and RPV Systems for Photogrammetric Surveys in Archaelogical Areas: Two Tests in the Piedmont Region (Italy)”, Journal of Archaeological Science, 38, 697-710, 2011.
  • [7] HENDRICKX, M., GHEYLE, W., BONNE, J., BOURGEOIS, J., DE WULF, A., GOOSSENS, R., “The Use of Stereoscopic Images Taken from a Microdrone for the Documentation of Heritage - An Example from the Tuekta Burial Mounds in The Russian Altay”, Journal of Archaeological Science, 38, 2968-2978, 2011.
  • [8] THEMISTOCLEOUS, K., LYSANDROU, V., CUCA, B., AGAPIOU, A., HADJIMITSIS, D.G., “Exploring the Ancient Kourion City Site from the Air Using Unmanned Aerial Vehicles”, International Journal of Heritage in the Digital Era, 4, 307-323, 2015.
  • [9] RATHINAM, S., KIM, Z.W., SENGUPTA, R., “Vision-based Monitoring of Locally Linear Structures Using an Unmanned Aerial Vehicle”, First Journal Of Infrastructure Systems, 14 (1), 52-63, 2008.
  • [10] ZHANG, C., ELAKSHER, A., “An Unmanned Aerial Vehicle Based Imaging System for 3D Measurement of Unpaved Road Surface Distresses”, Computer-Aided Civil Infrastructure Engineering, 27 (2), 118-129, 2011.
  • [11] SIEBERT, S., TEIZER, J., “Mobile 3D Mapping for Surveying Earthwork Projects Using an Unmanned Aerial Vehicle (UAV) System”, Automation in Construction, 41, 1-14, 2014.
  • [12] EISENBEİSS, H., UAV Photogrammetry, Dissertation Institute of Geodesy and Photogrammetry, ETH Zurich, Switzerland. 2009.
  • [13] REMONDINO, F., BARAZZETTI, L., NEX, F., SCAIONI, M., SARAZZI, D., “UAV Photogrammetry for Mapping and 3D Modeling-Current Status and Future Perspectives”, Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g), Zurich, Switzerland, 2011.
  • [14] HUDZIETZ, B.P., SARIPALLI, S., “An Experimental Evaluation of 3D Terrain Mapping with an Autonomous Helicopter”, Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g), Zurich, Switzerland, 2011.
  • [15] BULATOV, D., SOLBRIG, P., GROSS, H., WERNERUS, P., REPASI, E., HEIPKE, C., “Context-Based Urban Terrain Reconstruction from UAV-Videos for Geoinformation Applications”, Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g), Zurich, Switzerland, 2011.
  • [16] SEYLAN, C., SEMİZ, F., BİCAN, O.S., “ İnsansız Araçlarla Düzlemsel Olmayan Alanların Taranması”, Savunma Bilimleri Dergisi, 11 (1), 107-117, 2012.
  • [17] AKGÜL, M., YURTSEVEN, H., DEMİR, M., AKAY, A.E., GÜLCİ, S., ÖZTÜRK, T., “ İnsansız Hava Araçları ile Yüksek Hassasiyette Sayısal Yükseklik Modeli Üretimi ve Ormancılıkta Kullanım Olanakları”, İstanbul Üniversitesi Orman Fakültesi Dergisi, 66 (1), 104-118, 2016.
  • [18] ÖZCAN, O., “İnsansız Hava Aracı ile Farklı Yüksekliklerden Üretilen Sayısal Yüzey Modellerinin (SYM) Doğruluk Analizi”, Mühendislik ve Yer Bilimleri Dergisi, 2 (1), 1-7, 2017.
  • [19] http://www.mavinci.de/pro-version/ (erişim tarihi: 20.03.2017)
  • [20] BEŞDOK, E., KASAP, B., “3D Nesne Modellemeye Yönelik Lazerli Bir Tarayıcı Sistemin Tasarımı ve Gerçekleştirilmesi”, Eleco, Elektrik - Elektronik - Bilgisayar Mühendisliği Sempozyumu ve Fuarı Bildirileri, Bursa, Türkiye, 2006.
  • [21] LOWE, D.G., “Distinctive Image Features from Scale-Invariant Keypoints”, International Journal of Computer Vision, 60 (2), 91-110, 2004.
  • [22] SNAVELY, N., SEITZ, S.M., SZELISKI, R., “Modeling the World from Internet Photo Collections”, International Journal of Computer Vision, 80 (2), 189-210, 2008.
  • [23] FURUKAWA, Y., CURLESS, B., SEITZ, S.M., SZELISKI, R., “Towards Internet-Scale Multi-View Stereo”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1434-1441, San Fransisco, USA, 2010.
  • [24] FURUKAWA, Y., PONCE, J., “Accurate, Dense and Robust Multiview Stereopsis”, IEEE Transactions Pattern Analysis and Machine Intelligence, 32 (8), 1362-1376, 2010.
  • [25] BESL, P.J., MCKAY, N.D., “A Method for Registration of 3D Shapes”, IEEE Transactions On Pattern Analysis And Machine Intelligence, 14 (2), 239-256, 1992.
  • [26] JEBERA, T., AZARBAYEJANI, A., PENTLAND, A., “3D Structure From 2D Motion”, IEEE Signal Processing Magazine, 3D And Stereoscopic Visual Communication, 16 (3), 66-84, 1999.
  • [27] MOHR, R., TRIGSS, B., “ Projective Geometry for Image Analysis”, Technical report, International Society for Photogrammetry and Remote Sensing, Vienna Congress, WG III/2 Tutorial, 1996.
  • [28] HORN, B.K.P., “ Relative Orientation”, International Journal of Computer Vision, 4 (1), 59-78, 1990.
  • [29] http://www.agisoft.com/pdf/photoscan pro_1_3_en.pdf (erişim tarihi: 12.03.2017)
  • [30] ZHANG, W., QI, J., WAN, P., WANG, H., XIE, D., WANG, X., YAN, G., “An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation” Remote Sensing, 8 (6), 501, 2016.
  • [31] MONTAUT, G.D., Cloud Compare-Open Source Project; OpenSource Project: Grenoble, France, 2011.
  • [32] ADAMS, A., GELFAND, N., DOLSON, J., LEVOY, M., “Gaussian Kd-trees for Fast High-dimensional Filtering" ACM Transactions on Graphics (ToG), Proceedings of ACM SIGGRAPH, p.21, New York, USA, 2009.
  • [33] WIRJADI, O., BRUEL, T., “Approximate Separable 3D Anisotropic Gauss Filter", Image Processing (ICIP) IEEE International Conference on, pp. II-149, 2005.
  • [34] GÜNEN, M.A., “Nokta Bulutu Filtreleme Algoritmalarının Karşılaştırılması” Erciyes Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, 78s, Kayseri, 2017.
  • [35] http://www.danielgm.net/cc/ (erişim tarihi: 08.08.2017)

USE OF UNMANNED AERIAL VEHICLES IN ROADWAY MEASUREMENTS: OKURCALAR CITY CENTER EXAMPLE

Year 2018, , 649 - 660, 31.07.2018
https://doi.org/10.28948/ngumuh.404265

Abstract



   In the roadway city center
transitions where the traffic flow is dense and the detail to be measured is
high, production of digital terrain model by terrestrial methods brings
negation in terms of time and cost. Unmanned aerial vehicles (UAVs), which can
carry measuring instruments with different skills and tend to decrease in cost,
are effective systems for production of orthophoto and digital terrain model. In
this study, point cloud and 4.9 cm spatial resolution orthophoto image of
700-meter roadway corridor was produced by using Structure From Motion (SFM)
algorithm and an UAV supported by GNSS-IMU. After applying the Cloth Simulation
Filtering (CSF) and Gaussian filtering methods to the obtained point cloud, the
digital terrain model of the test roadway corridor was obtained. The accuracy
of the UAV system was tested by the terrestrial method, it has been determined
that UAV method can obtain 3D data with a vertical accuracy of 3.96 cm on hard
surface grounds and 7.32 cm on soil grounds. The results show that the UAV
systems is very effective in the production of orthophoto images and digital
terrain models in roadway corridors which have flatness terrain and have no
objects that prevent photogrammetric surveys.


References

  • [1] KARKINLI, A.E., KESİKOĞLU, A., KESİKOĞLU, M.H., ATASEVER, U.H., ÖZKAN, C., BEŞDOK, E., “İnsansız Hava Araçları ile Sayısal Arazi Modeli Üretimi”, Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği (TUFUAB)VIII. Sempozyumu, 21-23 Mayıs, Konya, Türkiye, 2015.
  • [2] EISENBEISS, H., SAUERBIER, M., “Investigation of UAV Systems and Flight Modes for Photogrammetric Applications”, The Photogrammetric Record, 26(136), 400-421, 2011.
  • [3] VEGA, F.A., RAMIREZ, F.C., SAIZ, P.S., ROSUA, F.O., “Multi-temporal Imaging Using an Unmanned Aerial Vehicle for Monitoring a Sunflower Crop”, Biosystems Engineering, 132, 19-27, 2015.
  • [4] YU, N., LI, L., SCHMITZ, N., TIAN, L.F., GREENBERG, J.A., DIERS, B.W., “Development of Methods to Improve Soybean Yield Estimation and Predict Plant Maturity with an Unmanned Aerial Vehicle Based Platform”, Remote Sensing of Environment, 187, 91-101, 2016.
  • [5] MESSINGER, M., SILMAN, M., “Unmanned Aerial Vehicles for the Assessment and Monitoring of Environmental Contamination: An Example from Coal Ash Spills”, Environmental Pollution, 218, 889-894, 2016.
  • [6] CHIABRANDO, F., NEX, F., PIATTI, D., RINAUDO, F., “UAV and RPV Systems for Photogrammetric Surveys in Archaelogical Areas: Two Tests in the Piedmont Region (Italy)”, Journal of Archaeological Science, 38, 697-710, 2011.
  • [7] HENDRICKX, M., GHEYLE, W., BONNE, J., BOURGEOIS, J., DE WULF, A., GOOSSENS, R., “The Use of Stereoscopic Images Taken from a Microdrone for the Documentation of Heritage - An Example from the Tuekta Burial Mounds in The Russian Altay”, Journal of Archaeological Science, 38, 2968-2978, 2011.
  • [8] THEMISTOCLEOUS, K., LYSANDROU, V., CUCA, B., AGAPIOU, A., HADJIMITSIS, D.G., “Exploring the Ancient Kourion City Site from the Air Using Unmanned Aerial Vehicles”, International Journal of Heritage in the Digital Era, 4, 307-323, 2015.
  • [9] RATHINAM, S., KIM, Z.W., SENGUPTA, R., “Vision-based Monitoring of Locally Linear Structures Using an Unmanned Aerial Vehicle”, First Journal Of Infrastructure Systems, 14 (1), 52-63, 2008.
  • [10] ZHANG, C., ELAKSHER, A., “An Unmanned Aerial Vehicle Based Imaging System for 3D Measurement of Unpaved Road Surface Distresses”, Computer-Aided Civil Infrastructure Engineering, 27 (2), 118-129, 2011.
  • [11] SIEBERT, S., TEIZER, J., “Mobile 3D Mapping for Surveying Earthwork Projects Using an Unmanned Aerial Vehicle (UAV) System”, Automation in Construction, 41, 1-14, 2014.
  • [12] EISENBEİSS, H., UAV Photogrammetry, Dissertation Institute of Geodesy and Photogrammetry, ETH Zurich, Switzerland. 2009.
  • [13] REMONDINO, F., BARAZZETTI, L., NEX, F., SCAIONI, M., SARAZZI, D., “UAV Photogrammetry for Mapping and 3D Modeling-Current Status and Future Perspectives”, Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g), Zurich, Switzerland, 2011.
  • [14] HUDZIETZ, B.P., SARIPALLI, S., “An Experimental Evaluation of 3D Terrain Mapping with an Autonomous Helicopter”, Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g), Zurich, Switzerland, 2011.
  • [15] BULATOV, D., SOLBRIG, P., GROSS, H., WERNERUS, P., REPASI, E., HEIPKE, C., “Context-Based Urban Terrain Reconstruction from UAV-Videos for Geoinformation Applications”, Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g), Zurich, Switzerland, 2011.
  • [16] SEYLAN, C., SEMİZ, F., BİCAN, O.S., “ İnsansız Araçlarla Düzlemsel Olmayan Alanların Taranması”, Savunma Bilimleri Dergisi, 11 (1), 107-117, 2012.
  • [17] AKGÜL, M., YURTSEVEN, H., DEMİR, M., AKAY, A.E., GÜLCİ, S., ÖZTÜRK, T., “ İnsansız Hava Araçları ile Yüksek Hassasiyette Sayısal Yükseklik Modeli Üretimi ve Ormancılıkta Kullanım Olanakları”, İstanbul Üniversitesi Orman Fakültesi Dergisi, 66 (1), 104-118, 2016.
  • [18] ÖZCAN, O., “İnsansız Hava Aracı ile Farklı Yüksekliklerden Üretilen Sayısal Yüzey Modellerinin (SYM) Doğruluk Analizi”, Mühendislik ve Yer Bilimleri Dergisi, 2 (1), 1-7, 2017.
  • [19] http://www.mavinci.de/pro-version/ (erişim tarihi: 20.03.2017)
  • [20] BEŞDOK, E., KASAP, B., “3D Nesne Modellemeye Yönelik Lazerli Bir Tarayıcı Sistemin Tasarımı ve Gerçekleştirilmesi”, Eleco, Elektrik - Elektronik - Bilgisayar Mühendisliği Sempozyumu ve Fuarı Bildirileri, Bursa, Türkiye, 2006.
  • [21] LOWE, D.G., “Distinctive Image Features from Scale-Invariant Keypoints”, International Journal of Computer Vision, 60 (2), 91-110, 2004.
  • [22] SNAVELY, N., SEITZ, S.M., SZELISKI, R., “Modeling the World from Internet Photo Collections”, International Journal of Computer Vision, 80 (2), 189-210, 2008.
  • [23] FURUKAWA, Y., CURLESS, B., SEITZ, S.M., SZELISKI, R., “Towards Internet-Scale Multi-View Stereo”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1434-1441, San Fransisco, USA, 2010.
  • [24] FURUKAWA, Y., PONCE, J., “Accurate, Dense and Robust Multiview Stereopsis”, IEEE Transactions Pattern Analysis and Machine Intelligence, 32 (8), 1362-1376, 2010.
  • [25] BESL, P.J., MCKAY, N.D., “A Method for Registration of 3D Shapes”, IEEE Transactions On Pattern Analysis And Machine Intelligence, 14 (2), 239-256, 1992.
  • [26] JEBERA, T., AZARBAYEJANI, A., PENTLAND, A., “3D Structure From 2D Motion”, IEEE Signal Processing Magazine, 3D And Stereoscopic Visual Communication, 16 (3), 66-84, 1999.
  • [27] MOHR, R., TRIGSS, B., “ Projective Geometry for Image Analysis”, Technical report, International Society for Photogrammetry and Remote Sensing, Vienna Congress, WG III/2 Tutorial, 1996.
  • [28] HORN, B.K.P., “ Relative Orientation”, International Journal of Computer Vision, 4 (1), 59-78, 1990.
  • [29] http://www.agisoft.com/pdf/photoscan pro_1_3_en.pdf (erişim tarihi: 12.03.2017)
  • [30] ZHANG, W., QI, J., WAN, P., WANG, H., XIE, D., WANG, X., YAN, G., “An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation” Remote Sensing, 8 (6), 501, 2016.
  • [31] MONTAUT, G.D., Cloud Compare-Open Source Project; OpenSource Project: Grenoble, France, 2011.
  • [32] ADAMS, A., GELFAND, N., DOLSON, J., LEVOY, M., “Gaussian Kd-trees for Fast High-dimensional Filtering" ACM Transactions on Graphics (ToG), Proceedings of ACM SIGGRAPH, p.21, New York, USA, 2009.
  • [33] WIRJADI, O., BRUEL, T., “Approximate Separable 3D Anisotropic Gauss Filter", Image Processing (ICIP) IEEE International Conference on, pp. II-149, 2005.
  • [34] GÜNEN, M.A., “Nokta Bulutu Filtreleme Algoritmalarının Karşılaştırılması” Erciyes Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, 78s, Kayseri, 2017.
  • [35] http://www.danielgm.net/cc/ (erişim tarihi: 08.08.2017)
There are 35 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Geomatic Engineering
Authors

Emre Tercan 0000-0001-6309-1083

Publication Date July 31, 2018
Submission Date May 25, 2017
Acceptance Date August 28, 2017
Published in Issue Year 2018

Cite

APA Tercan, E. (2018). KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 7(2), 649-660. https://doi.org/10.28948/ngumuh.404265
AMA Tercan E. KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ. NÖHÜ Müh. Bilim. Derg. July 2018;7(2):649-660. doi:10.28948/ngumuh.404265
Chicago Tercan, Emre. “KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 7, no. 2 (July 2018): 649-60. https://doi.org/10.28948/ngumuh.404265.
EndNote Tercan E (July 1, 2018) KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 7 2 649–660.
IEEE E. Tercan, “KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ”, NÖHÜ Müh. Bilim. Derg., vol. 7, no. 2, pp. 649–660, 2018, doi: 10.28948/ngumuh.404265.
ISNAD Tercan, Emre. “KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 7/2 (July 2018), 649-660. https://doi.org/10.28948/ngumuh.404265.
JAMA Tercan E. KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ. NÖHÜ Müh. Bilim. Derg. 2018;7:649–660.
MLA Tercan, Emre. “KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, vol. 7, no. 2, 2018, pp. 649-60, doi:10.28948/ngumuh.404265.
Vancouver Tercan E. KARAYOLU ÖLÇMELERİNDE İNSANSIZ HAVA ARAÇLARININ KULLANILMASI: OKURCALAR ŞEHİR MERKEZİ ÖRNEĞİ. NÖHÜ Müh. Bilim. Derg. 2018;7(2):649-60.

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