Towards of multi-source data fusion framework of geo-referenced and non-georeferenced data: prospects for use in surface water bodies

References

• Alcarria R, Bordel B, Manso MÁ, Iturrioz T. 2018. Analyzing UAV-based remote sensing and WSN support for data fusion. In: Álvaro Rocha, Teresa Guarda, editors. ICITS2018. Proceedings of the International Conference on Information Technology & Jan 10–12; Libertad City (ECU) Systems, vol. 721. Cham: Springer International Publishing.
   Google Scholar
• Assali P, Grussenmeyer P, Villemin T, Pollet N, Viguier F. 2014. Surveying and modeling of rock discontinuities by terrestrial laser scanning and photogrammetry: semi-automatic approaches for linear outcrop inspection. J Struct Geol. 66:102–114.
   Web of Science ®Google Scholar
• Baker K, Bermingham J, McDonald C. 1997. Data fusion: an appraisal and experimental evaluation. J Mark Res Soc. 39(1):1–12.
   Google Scholar
• Bemis SP, Micklethwaite S, Turner D, James MR, Akciz S, Thiele ST, Bangash HA. 2014. Ground-based and UAV-based photogrammetry: a multi-scale, high-resolution mapping tool for structural geology and paleoseismology. J Struct Geol. 69:163–178.
   Web of Science ®Google Scholar
• Bioucas-Dias JM, Plaza A, Camps-Valls G, Scheunders P, Nasrabadi N, Chanussot J. 2013. Hyperspectral remote sensing data analysis and future challenges. IEEE Geosci Remote Sens Mag. 1(2):6–36.
   Web of Science ®Google Scholar
• Bugeau A, Pérez P. 2009. Detection and segmentation of moving objects in complex scenes. Comput Vis Image Underst. 113(4):459–476.
   Web of Science ®Google Scholar
• Cabreira TM, Brisolara LB, Ferreira Paulo R. 2019. Survey on coverage path planning with unmanned aerial vehicles. Drones. 3(1):4– 38.
   Google Scholar
• Carrivick JL, Smith MW, Quincey DJ, Carver SJ. 2013. Developments in budget remote sensing for the geosciences. Geol. Today. 29(4):138–143.
   Google Scholar
• Chair Z, Varshney PK. 1986. Optimal data fusion in multiple sensor detection systems. IEEE Trans Aerosp Electron Syst. 22(1):98–101.
   Web of Science ®Google Scholar
• Chen R, Xu J, Zhang S. 2022. Comparative study on 3D optical sensors for short-range applications. Opt Lasers Eng. 149:106763.
   Web of Science ®Google Scholar
• Dąbrowski PS, Specht C, Specht M, Burdziakowski P, Makar A, Lewicka O. 2021. Integration of multi-source geospatial data from GNSS receivers, terrestrial laser scanners, and unmanned aerial vehicles. Can J Remote Sens. 47(4):621–634.
   Web of Science ®Google Scholar
• Franco DC, Buttazzo G. 2016. Coverage path planning for UAVs photogrammetry with energy and resolution constraints. J Intell Robot Syst. 83(3–4):445–462.
   Web of Science ®Google Scholar
• Gao J. 2009. Bathymetric mapping by means of remote sensing: methods, accuracy and limitations. Prog Phys Geogr Earth Environ. 33(1):103–116.
   Google Scholar
• Genchi SA, Vitale AJ, Perillo GME, Seitz C, Delrieux CA. 2020. Mapping topobathymetry in a shallow tidal environment using low-cost technology. Remote Sens. 12(9):1394.
   Google Scholar
• Gesch D, Wilson R. 2001. Development of a seamless multisource topographic/bathymetric elevation model of Tampa Bay. Mar Technol Soc J. 35(4):58–64.
   Web of Science ®Google Scholar
• Giordano F, Mattei G, Parente C, Peluso F, Santamaria R. 2015. Integrating sensors into a marine drone for bathymetric 3D surveys in shallow waters. Sensors. 16(1):41.
   PubMed Web of Science ®Google Scholar
• Gonçalves JA, Henriques R. 2015. UAV photogrammetry for topographic monitoring of coastal areas. ISPRS J Photogramm Remote Sens. 104:101–111.
   Web of Science ®Google Scholar
• Hackett JK, Shah M. 1990. Multi-sensor fusion: a perspective. Proceedings of the IEEE International Conference on Robotics and Automation, vol. 2, pp. 1324–1330.
   Google Scholar
• Haddad DE, Akciz SO, Arrowsmith JR, Rhodes DD, Oldow JS, Zielke O, Toke NA, Haddad AG, Mauer J, Shilpakar P. 2012. Applications of airborne and terrestrial laser scanning to paleoseismology. Geosphere. 8(4):771–786.
   Web of Science ®Google Scholar
• Hare R. 1994. Calibrating Larsen-500 lidar bathymetry in dolphin and union strait using dense acoustic ground-truth. Int Hydrogr Rev. 71(1):91–108.
   Google Scholar
• Khodadadzadeh M, Li J, Prasad S, Plaza A. 2015. Fusion of hyperspectral and LiDAR remote sensing data using multiple feature learning. IEEE J Sel Top Appl Earth Obs Remote Sens. 8(6):2971–2983.
   Web of Science ®Google Scholar
• Menna F, Agrafiotis P, Georgopoulos A. 2018. State of the art and applications in archaeological underwater 3D recording and mapping. J Cult Herit. 33:231–248.
   Web of Science ®Google Scholar
• Nikolakopoulos KG, Lampropoulou P, Fakiris E, Sardelianos D, Papatheodorou G. Synergistic use of UAV and USV data and petrographic analyses for the investigation of beachrock formations: a case study from Syros Island, Aegean Sea, Greece. Minerals 2018, vol. 8. p. 534.
   Google Scholar
• Nilssen I, Ødegård Ø, Sørensen AJ, Johnsen G, Moline MA, Jø B. 2015. Integrated environmental mapping and monitoring, a methodological approach to optimise knowledge gathering and sampling strategy. Mar Pollut Bull. 96(1–2):374–383.
   PubMed Web of Science ®Google Scholar
• Pau LF. 1988. Sensor data fusion. J Intell Rob Syst. 1(2):103–116.
   Google Scholar
• Remondino F, Nocerino E, Toschi I, Menna F. 2017. A critical review of automated photogrammetric processing of large datasets. Int Arch Photogramm Remote Sens Spat Inf Sci-ISPRS Arch. 42(2W5):591–599.
   Google Scholar
• Rumpler M, Tscharf A, Mostegel C, Daftry S, Hoppe C, Prettenthaler R, Fraundorfer F, Mayer G, Bischof H. 2017. Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance. Comput Vis Image Underst. 157:255–273.
   Web of Science ®Google Scholar
• Shmueli J, Eder MA, Tesauro A. 2015. A versatile stereo photogrammetry based technique for measuring fracture mode displacements in structures. Precis Eng. 39:38–46.
   Web of Science ®Google Scholar
• Specht M, Stateczny A, Specht C, Widźgowski S, Lewicka O, Wiśniewska M. 2021. Concept of an innovative autonomous unmanned system for bathymetric monitoring of shallow waterbodies (INNOBAT System). Energies. 14(17):5370.
   Web of Science ®Google Scholar
• Tavani S, Granado P, Corradetti A, Girundo M, Iannace A, Arbués P, Muñoz JA, Mazzoli S. 2014. Building a virtual outcrop, extracting geological information from it, and sharing the results in Google Earth via OpenPlot and photoscan: an example from the Khaviz Anticline (Iran). Comput Geosci. 63:44–53.
   Web of Science ®Google Scholar
• Taylor FS. 1942. The origin of the thermometer. Ann Sci. 5(2):129–156.
   Google Scholar
• Villalpando F, Tuxpan J, Ramos-Leal JA, Carranco-Lozada S. 2020. New framework based on fusion information from multiple landslide data sources and 3D visualization. J Earth Sci. 31(1):159–168.
   Web of Science ®Google Scholar
• Wald L. 1999. Some terms of reference in data fusion. IEEE Trans Geosci Remote Sens. 37(3):1190–1193.
   Web of Science ®Google Scholar
• Watts AC, Ambrosia VG, Hinkley EA. 2012. Unmanned aircraft systems in remote sensing and scientific research: classification and considerations of use. Remote Sens. 4(6):1671–1692.
   Google Scholar