Fusco et al., 2022 - Google Patents
An application of artificial intelligence to support the discovering of roman centuriation remainsFusco et al., 2022
View PDF- Document ID
- 836224859537864291
- Author
- Fusco P
- Venticinque S
- Aversa R
- Publication year
- Publication venue
- IEEE Access
External Links
Snippet
Archaeological research that uncovers ancient artifacts is of critical importance, since ruins and objects are the only way to deal with the history of a city. Artificial intelligence techniques can support the archaeologists to discover remains which are difficult to be …
- 238000000034 method 0 abstract description 6
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/20—Instruments for performing navigational calculations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Cerrillo-Cuenca | An approach to the automatic surveying of prehistoric barrows through LiDAR | |
Davis | Object‐based image analysis: a review of developments and future directions of automated feature detection in landscape archaeology | |
Verschoof-Van der Vaart et al. | Learning to look at LiDAR: The use of R-CNN in the automated detection of archaeological objects in LiDAR data from the Netherlands | |
Turker et al. | Building‐based damage detection due to earthquake using the watershed segmentation of the post‐event aerial images | |
Wieland et al. | Estimating building inventory for rapid seismic vulnerability assessment: Towards an integrated approach based on multi-source imaging | |
Gamanya et al. | An automated satellite image classification design using object-oriented segmentation algorithms: A move towards standardization | |
Hormese et al. | Automated road extraction from high resolution satellite images | |
Hecht et al. | Automatic derivation of urban structure types from topographic maps by means of image analysis and machine learning | |
CN115409069A (en) | Village and town building identification method, classification method, device, electronic equipment and medium | |
Xie et al. | OpenStreetMap data quality assessment via deep learning and remote sensing imagery | |
Jasiewicz et al. | Multi-scale segmentation algorithm for pattern-based partitioning of large categorical rasters | |
Chen et al. | Automatically and accurately conflating raster maps with orthoimagery | |
Masouleh et al. | Deep learning-based method for reconstructing three-dimensional building cadastre models from aerial images | |
Fusco et al. | An application of artificial intelligence to support the discovering of roman centuriation remains | |
Herold et al. | 3D reconstruction of urban history based on old maps | |
Dekavalla et al. | Evaluation of a spatially adaptive approach for land surface classification from digital elevation models | |
Ouchra et al. | A comprehensive study of using remote sensing and geographical information systems for urban planning | |
Tian | 3D change detection from high and very high resolution satellite stereo imagery | |
Romero et al. | Analytical applications of fine-scale terrestrial lidar at the imperial Inca site of Caranqui, northern highland Ecuador | |
CN115393730A (en) | Accurate identification method for Mars meteorite crater, electronic equipment and storage medium | |
Widyaningrum et al. | Tailored features for semantic segmentation with a DGCNN using free training samples of a colored airborne point cloud | |
Zhang et al. | Machine learning methods for Unesco Chinese heritage: Complexity and comparisons | |
Gaurav et al. | RainRoof: Automated Shared Rainwater Harvesting Prediction | |
Boos | Image Segmentation using Convolutional Neural Networks for Change Detection of Landcover | |
Valdiviezo-N et al. | Morphological reconstruction algorithms for urban monitoring using satellite data: proper selection of the marker and mask images |