Alessia Frisetti
Biographic Data
| ID | 4420045 |
|---|---|
| NAME | Alessia Frisetti |
| GIVEN NAMES | Alessia |
| FAMILY NAME | Frisetti |
| SIGNATURE | FRISETTI A |
| AFFILIATIONS | Università degli Studi Suor Orsola Benincasa |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Bridging the gap between contemporary remote sensing and archaeology: The S.A.D.A. platform for accessible remote-sensing image analysis
Remote sensing now supplies abundant, high-resolution imagery for archaeological prospection, yet many projects still underuse these data due to technical barriers. This paper presents S.A.D.A. (Smart Anomaly Detection Assistant), an open-source, GUI driven application that integrates common pre-processing (index calculation, histogram adjustment, PCA), multiple anomaly-detection families (Standard, RX, Isolation Forest, LOF, one-class SVM), unsu…
Assessing the Relationship Between Erosion Risk, Climate Change and Archaeological Heritage: Medieval Sites in the Basilicata Region, Italy
Climate change has among its effects the increasing frequency and intensity of natural disasters, such as landslides, floods, erosion and fires, with clear implications on both natural and anthropic hazards and risks. These natural phenomena pose a growing threat to archaeological heritage through increased rates of soil erosion, flooding, and landslides. This study presents a multidisciplinary approach to assess the erosion risk affecting mediev…
An Open-Source Machine Learning–Based Methodological Approach for Processing High-Resolution UAS LiDAR Data in Archaeological Contexts: A Case Study from Epirus, Greece
This study shows and discusses an innovative approach devised for archaeological feature detection using unmanned aerial system (UAS) LiDAR and an open-source probabilistic machine learning framework. The methodology employs a Random Forest classification algorithm within CloudCompare’s 3DMASC plugin to analyse dense LiDAR point clouds. The main steps include classifier training, hyperparameter adjustment and point cloud segmentation to produce d…
Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)
Reconstruction of archaeological contexts through the integrated use of airborne LiDAR and geophysical survey: The case study of San Pietro Infine (Caserta, southern Italy)
San Pietro Infine (Caserta, southern Italy) is an archaeological area of significant historical interest as it is in the vicinity of the Roman site of Ad Flexum. Based on historical sources, the site would correspond to the junction of a road axis that, during the Roman colonization (3rd century BCE), was crossed by the Via Latina. At the intersection of these two roads, which coexisted for a time, a post station was built, most likely later repl…
Geophysical prospecting for the pre- and early-historical reconstruction of the subsurface underneath the Paleochristian Basilica of Santa Maria di Compulteria (northern Campania, Italy)
An Open-Source Machine Learning–Based Methodological Approach for Processing High-Resolution UAS LiDAR Data in Archaeological Contexts: A Case Study from Epirus, Greece
This study shows and discusses an innovative approach devised for archaeological feature detection using unmanned aerial system (UAS) LiDAR and an open-source probabilistic machine learning framework. The methodology employs a Random Forest classification algorithm within CloudCompare’s 3DMASC plugin to analyse dense LiDAR point clouds. The main steps include classifier training, hyperparameter adjustment and point cloud segmentation to produce d…
Geophysical prospecting for the pre- and early-historical reconstruction of the subsurface underneath the Paleochristian Basilica of Santa Maria di Compulteria (northern Campania, Italy)
Reconstruction of archaeological contexts through the integrated use of airborne LiDAR and geophysical survey: The case study of San Pietro Infine (Caserta, southern Italy)
San Pietro Infine (Caserta, southern Italy) is an archaeological area of significant historical interest as it is in the vicinity of the Roman site of Ad Flexum. Based on historical sources, the site would correspond to the junction of a road axis that, during the Roman colonization (3rd century BCE), was crossed by the Via Latina. At the intersection of these two roads, which coexisted for a time, a post station was built, most likely later repl…
An Open-Source Machine Learning–Based Methodological Approach for Processing High-Resolution UAS LiDAR Data in Archaeological Contexts: A Case Study from Epirus, Greece
This study shows and discusses an innovative approach devised for archaeological feature detection using unmanned aerial system (UAS) LiDAR and an open-source probabilistic machine learning framework. The methodology employs a Random Forest classification algorithm within CloudCompare’s 3DMASC plugin to analyse dense LiDAR point clouds. The main steps include classifier training, hyperparameter adjustment and point cloud segmentation to produce d…
Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)
Bridging the gap between contemporary remote sensing and archaeology: The S.A.D.A. platform for accessible remote-sensing image analysis
Remote sensing now supplies abundant, high-resolution imagery for archaeological prospection, yet many projects still underuse these data due to technical barriers. This paper presents S.A.D.A. (Smart Anomaly Detection Assistant), an open-source, GUI driven application that integrates common pre-processing (index calculation, histogram adjustment, PCA), multiple anomaly-detection families (Standard, RX, Isolation Forest, LOF, one-class SVM), unsu…
Assessing the Relationship Between Erosion Risk, Climate Change and Archaeological Heritage: Medieval Sites in the Basilicata Region, Italy
Climate change has among its effects the increasing frequency and intensity of natural disasters, such as landslides, floods, erosion and fires, with clear implications on both natural and anthropic hazards and risks. These natural phenomena pose a growing threat to archaeological heritage through increased rates of soil erosion, flooding, and landslides. This study presents a multidisciplinary approach to assess the erosion risk affecting mediev…
Archaeological Research and Protection (5 works) · 3D Surveying and Cultural Heritage (4 works) · Archaeology (3 works) · Geography (3 works) · Geology (3 works) · Remote sensing (3 works) · Conservation Techniques and Studies (2 works) · Excavation (2 works) · Geophysical Methods and Applications (2 works) · Geophysical survey (2 works)