Multi-sensor data fusion for underwater archaeological investigation
Multi-sensor data fusion for underwater archaeological investigation
The primary purpose of this work consists in treating optical and acoustic signals in order to extract useful information for applications in underwater archaeology. Data are processed to assess the presence of geometrically regular elements, potentially indicating handmade objects lying on the seafloor. Geometrical elements are recognized by means of suitable algorithms and their statistical persistence in the data stream is employed as a descriptor. Multi-sensor data are processed by applying segmentation and classification procedures based on a geometrical pattern analysis, with the purpose of discerning different materials. We basically seek for meaningful features in the data in order to perform robust object recognition, also in case of unfavorable environmental conditions. Finally we define a unique data fusion model that can be exploited for exhaustive interpretation of the underwater scene.
3D From Stereo, I.2.10 Vision and Scene Understanding, Underwater Acoustic, I.4.1 Digitization and Image Capture, I.4.7 Feature Measurement, I.4.9 IMAGE PROCESSING AND COMPUTER VISION. Applications, I.4.1 Digitization and, Data Fusion, I.3.8 COMPUTER GRAPHICS. Applications, J.5 ARTS AND HUMANITIES, I.4.3 Enhancement, Underwater Acoustics, 3D Reconstruction, Underwater Archaeology, Curve Detection, I.4.8 Scene Analysis
3D From Stereo, I.2.10 Vision and Scene Understanding, Underwater Acoustic, I.4.1 Digitization and Image Capture, I.4.7 Feature Measurement, I.4.9 IMAGE PROCESSING AND COMPUTER VISION. Applications, I.4.1 Digitization and, Data Fusion, I.3.8 COMPUTER GRAPHICS. Applications, J.5 ARTS AND HUMANITIES, I.4.3 Enhancement, Underwater Acoustics, 3D Reconstruction, Underwater Archaeology, Curve Detection, I.4.8 Scene Analysis
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!