@article{Agrafiotis2017a,

title = {The effect of underwater imagery radiometry on 3D reconstruction and orthoimagery},

author = {P Agrafiotis and G I Drakonakis and A Georgopoulos and D Skarlatos},

url = {https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W3/25/2017/},

doi = {10.5194/isprs-archives-XLII-2-W3-25-2017},

issn = {16821750},

year  = {2017},

date = {2017-02-01},

journal = {Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. - ISPRS Arch.},

volume = {42},

number = {2W3},

pages = {25--31},

abstract = {The work presented in this paper investigates the effect of the radiometry of the underwater imagery on automating the 3D reconstruction and the produced orthoimagery. Main aim is to investigate whether pre-processing of the underwater imagery improves the 3D reconstruction using automated SfM - MVS software or not. Since the processing of images either separately or in batch is a time-consuming procedure, it is critical to determine the necessity of implementing colour correction and enhancement before the SfM - MVS procedure or directly to the final orthoimage when the orthoimagery is the deliverable. Two different test sites were used to capture imagery ensuring different environmental conditions, depth and complexity. Three different image correction methods are applied: A very simple automated method using Adobe Photoshop, a developed colour correction algorithm using the CLAHE (Zuiderveld, 1994) method and an implementation of the algorithm described in Bianco et al., (2015). The produced point clouds using the initial and the corrected imagery are then being compared and evaluated.},

keywords = {SfM-MVS, Underwater 3D reconstruction, Underwater image enhancement},

pubstate = {published},

tppubtype = {article}

}