Fabio Remondino

Dr. Fabio Remondino

3D Optical Metrology (3DOM), FBK
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
8 November 2013 in Applied Geomatics
Verified
Journal Article
Closed access
PDF file
Francesco NexFrancesco Nex
Francesco Nex
Fabio RemondinoFabio Remondino
Fabio Remondino

7 August 2006 in The Photogrammetric Record
Verified
Journal Article
Closed access
PDF file
Fabio RemondinoFabio Remondino
Fabio Remondino
SESabry El‐Hakim
Sabry El‐Hakim

30 May 2011 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Fabio RemondinoFabio Remondino
Fabio Remondino
The importance of landscape and heritage recording and documentation with optical remote sensing sensors is well recognized at international level. The continuous development of new sensors, data capture methodologies and multi-resolution 3D representations, contributes significantly to the digital 3D documentation, mapping, conservation and representation of landscapes and heritages and to the growth of research in this field. This article reviews the actual optical 3D measurement sensors and 3D modeling techniques, with their limitations and potentialities, requirements and specifications. Examples of 3D surveying and modeling of heritage sites and objects are also shown throughout the paper.

2 April 2015 in Remote Sensing
Verified
Journal Article
Open access
PDF file
SCSebastian Candiago
Sebastian Candiago
Fabio RemondinoFabio Remondino
Fabio Remondino
MGMichaela De Giglio
Michaela De Giglio
MDMarco Dubbini
Marco Dubbini
MGMario Gattelli
Mario Gattelli
Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire in a fast and easy way field data for precision agriculture applications. This field of study is rapidly increasing due to the benefits and advantages for farm resources management, particularly for studying crop health. This paper reports some experiences related to the analysis of cultivations (vineyards and tomatoes) with Tetracam multispectral data. The Tetracam camera was mounted on a multi-rotor hexacopter. The multispectral data were processed with a photogrammetric pipeline to create triband orthoimages of the surveyed sites. Those orthoimages were employed to extract some Vegetation Indices (VI) such as the Normalized Difference Vegetation Index (NDVI), the Green Normalized Difference Vegetation Index (GNDVI), and the Soil Adjusted Vegetation Index (SAVI), examining the vegetation vigor for each crop. The paper demonstrates the great potential of high-resolution UAV data and photogrammetric techniques applied in the agriculture framework to collect multispectral images and evaluate different VI, suggesting that these instruments represent a fast, reliable, and cost-effective resource in crop assessment for precision farming applications.

15 June 2014 in The Photogrammetric Record
Verified
Journal Article
Closed access
PDF file
Fabio RemondinoFabio Remondino
Fabio Remondino
MSMaria Grazia Spera
Maria Grazia Spera
ENErica Nocerino
Erica Nocerino
Fabio MennaFabio Menna
Fabio Menna
Francesco NexFrancesco Nex
Francesco Nex

6 September 2012 in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Verified
Journal Article
Open access
PDF file
Fabio RemondinoFabio Remondino
Fabio Remondino
Luigi BarazzettiLuigi Barazzetti
Luigi Barazzetti
Francesco NexFrancesco Nex
Francesco Nex
MSM. Scaioni
M. Scaioni
DSD. Sarazzi
D. Sarazzi
UAV platforms are nowadays a valuable source of data for inspection, surveillance, mapping and 3D modeling issues. New applications in the short- and close-range domain are introduced, being the UAVs a low-cost alternatives to the classical manned aerial photogrammetry. Rotary or fixed wing UAVs, capable of performing the photogrammetric data acquisition with amateur or SLR digital cameras, can fly in manual, semi-automated and autonomous modes. With a typical photogrammetric pipeline, 3D results like DSM/DTM, contour lines, textured 3D models, vector data, etc. can be produced, in a reasonable automated way. The paper reports the latest developments of UAV image processing methods for photogrammetric applications, mapping and 3D modeling issues. Automation is nowadays necessary and feasible at the image orientation, DSM generation and orthophoto production stages, while accurate feature extraction is still an interactive procedure. New perspectives are also addressed.