scholarly journals Fortidens fremtid

2019 ◽  
Vol 2 ◽  
Author(s):  
Elisabeth Leinslie
Keyword(s):  
Cultural Heritage ◽  
Relational Database ◽  
Performing Arts ◽  
National Standard ◽  
National Plan ◽  
National Library ◽  
Archival Material ◽  
Object Based ◽  
Performing Art

Performing art is part of our national cultural heritage and in Norway we have good traditions for preserving the cultural heritage. For many years, however, performing arts was an art field where cultural heritage work was weak. During the last 10–15 years, this work has been strengthened. In this article, I will give an introduction to the work of a national digital performing arts archive that was developed during this period: Sceneweb – which is owned and operated by Performing Arts Hub Norway (PAHN). The Sceneweb database is a professional system adapted for the classification of performing art material. It is an object-based relational database which can function as an authority register and national standard for the recording of performing art material. In this article, I outline the choices that lie behind the development of this system, and for our national plan for the preservation and dissemination of archival material. I also explain our extensive cooperation with the National Library.

PROBLEMS OF CLASSIFICATION OF CULTURAL HERITAGE OBJECTS

2020 ◽  
Vol 10 (2) ◽  
pp. 158-168
Author(s):  
SVETLANA IVANOVA ◽  
Keyword(s):  
Cultural Heritage ◽  
Cultural Values ◽  
Research Work ◽  
Cultural Property ◽  
Cultural Inheritance ◽  
Federal Laws ◽  
Cultural Heritage Objects ◽  
Cultural Monuments

The purpose of the research work is to analyze the norms of Federal laws, as well as the laws of the Russian Federation's constituent entities, devoted to the definitions and classification of the concepts “cultural heritage”, “historical and cultural monuments”, “cultural values”. Conclusions obtained in the course of the research: based on the study of current legislation, it is concluded that the definitions of “cultural values”, “cultural property”, “objects of cultural inheritance” contained in various normative legal acts differ in content. Based on the research, the author proposes the concept of “cultural values”.

scholarly journals Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data

2019 ◽  
Vol 12 (1) ◽  
pp. 96 ◽  
Author(s):  
James Brinkhoff ◽  
Justin Vardanega ◽  
Andrew J. Robson
Keyword(s):  
Land Cover ◽  
Large Scale ◽  
Satellite Image ◽  
Resource Planning ◽  
Support Vector ◽  
Perennial Crop ◽  
Perennial Crops ◽  
Object Based ◽  
Rbf Kernel

Land cover mapping of intensive cropping areas facilitates an enhanced regional response to biosecurity threats and to natural disasters such as drought and flooding. Such maps also provide information for natural resource planning and analysis of the temporal and spatial trends in crop distribution and gross production. In this work, 10 meter resolution land cover maps were generated over a 6200 km2 area of the Riverina region in New South Wales (NSW), Australia, with a focus on locating the most important perennial crops in the region. The maps discriminated between 12 classes, including nine perennial crop classes. A satellite image time series (SITS) of freely available Sentinel-1 synthetic aperture radar (SAR) and Sentinel-2 multispectral imagery was used. A segmentation technique grouped spectrally similar adjacent pixels together, to enable object-based image analysis (OBIA). K-means unsupervised clustering was used to filter training points and classify some map areas, which improved supervised classification of the remaining areas. The support vector machine (SVM) supervised classifier with radial basis function (RBF) kernel gave the best results among several algorithms trialled. The accuracies of maps generated using several combinations of the multispectral and radar bands were compared to assess the relative value of each combination. An object-based post classification refinement step was developed, enabling optimization of the tradeoff between producers’ accuracy and users’ accuracy. Accuracy was assessed against randomly sampled segments, and the final map achieved an overall count-based accuracy of 84.8% and area-weighted accuracy of 90.9%. Producers’ accuracies for the perennial crop classes ranged from 78 to 100%, and users’ accuracies ranged from 63 to 100%. This work develops methods to generate detailed and large-scale maps that accurately discriminate between many perennial crops and can be updated frequently.

The role of non-governmental institutions in protection of medieval fortification architecture of Germany

2021 ◽  
pp. 22-31
Author(s):  
Maksim Terebilov
Keyword(s):  
Cultural Heritage ◽  
Middle Ages ◽  
Non Profit ◽  
Public Projects ◽  
Heritage Sites ◽  
Systemic Analysis ◽  
Internet Resources ◽  
Non Profit Organizations ◽  
Governmental Institutions

The subject of this research is the activity of non-profit organizations in aimed at preservation and promotion of the monuments of medieval fortification as an integral part of the cultural heritage of the country of their location. The author carries out the classification of non-profit organizations in Germany dealing with the preservation of monuments of fortification architecture of the Middle Ages. Methodological framework is comprised of typological and systemic analysis used for selecting organizations as the key objects of research, as well analyzing the main vectors of their activity. The author explores most significant projects of the selected organizations, their contribution to preservation of the monuments of fortification architecture on the national and international levels. Special attention is given to the analysis of official Internet resources of such organizations in the German and English languages, as well as to the work with digital databases of the objects under review. The novelty lies in conducting classification of non-governmental communities engaged in preservation of the monuments of medieval fortifications in Germany, which allows systematizing them for considering the experience of foreign colleagues within the framework of the approach towards organizing public projects aimed at preservation of the sites of historical and cultural heritage. The author outlines several priority vectors for providing support to the objects of fortification architecture: informational, scientific, financial and tourist. As a result, the author compiles a chart of classification of non-profit organizations, demonstrates interdependence of public initiatives related to preservation of cultural heritage sites on the ongoing globalization processes that take place in the society. Attention is also turned to the differentiated approach towards preservation of cultural heritage on the national and international levels.

Classification of Mason’s Skills by Analysis of Selected Churches of the Broumov Group

2021 ◽  
Vol 109 ◽  
pp. 15-20
Author(s):  
Pavel Kuklík ◽  
Martin Valek ◽  
Charalampos Paschopoulos
Keyword(s):  
Cultural Heritage ◽  
Bearing Capacity ◽  
Construction Industry ◽  
Economic Situation ◽  
Historical Events ◽  
Baroque Architecture ◽  
Current State ◽  
Geological Conditions ◽  
Local Construction

The churches of the Broumov region are renowned for their unique baroque architecture, their distinct shapes, and sizes. They are an integral part of the Czech cultural heritage. If you analyze the churches, it becomes evident that both the local geological conditions and the municipal economic situation have played an important role in their current condition. Moreover, the local construction industry has been significantly affected by historical events. In this article we would like to present the effects of those factors on the current state of selected churches, namely on the bearing capacity of their walls. Besides being very interesting, it also plays a key role in the maintenance and the potential reconstruction of the churches.

Analysing Temporal Effects on Classification of SAR and Optical Images

2021 ◽  
Author(s):  
Ahmet Batuhan Polat ◽  
Ozgun Akcay ◽  
Fusun Balik Sanli
Keyword(s):  
Rural Areas ◽  
Classification Accuracy ◽  
Winter Season ◽  
Support Vector ◽  
Classification Algorithms ◽  
Sar Images ◽  
Optical Images ◽  
Object Based ◽  
Training Samples

<p>Obtaining high accuracy in land cover classification is a non-trivial problem in geosciences for monitoring urban and rural areas. In this study, different classification algorithms were tested with different types of data, and besides the effects of seasonal changes on these classification algorithms and the evaluation of the data used are investigated. In addition, the effect of increasing classification training samples on classification accuracy has been revealed as a result of the study. Sentinel-1 Synthetic Aperture Radar (SAR) images and Sentinel-2 multispectral optical images were used as datasets. Object-based approach was used for the classification of various fused image combinations. The classification algorithms Support Vector Machines (SVM), Random Forest (RF) and K-Nearest Neighborhood (kNN) methods were used for this process. In addition, Normalized Difference Vegetation Index (NDVI) was examined separately to define the exact contribution to the classification accuracy.  As a result, the overall accuracies were compared by classifying the fused data generated by combining optical and SAR images. It has been determined that the increase in the number of training samples improve the classification accuracy. Moreover, it was determined that the object-based classification obtained from single SAR imagery produced the lowest classification accuracy among the used different dataset combinations in this study. In addition, it has been shown that NDVI data does not increase the accuracy of the classification in the winter season as the trees shed their leaves due to climate conditions.</p>

Lung Tumors With Neuroendocrine Morphology: Essential Radiologic and Pathologic Features

2008 ◽  
Vol 132 (7) ◽  
pp. 1055-1061 ◽  
Author(s):  
Teri J. Franks ◽  
Jeffrey R. Galvin
Keyword(s):  
Neuroendocrine Tumors ◽  
Classification Systems ◽  
World Health ◽  
National Library ◽  
Molecular Features ◽  
Distinct Subset ◽  
Pathologic Features ◽  
The World ◽  
Health Organization

Abstract Context.—Tumors with neuroendocrine morphology are a distinct subset of lung neoplasms sharing characteristic histologic, immunohistochemical, ultrastructural, and molecular features. Objective.—To review the current histologic classification and the diagnostic criteria for the major categories of neuroendocrine tumors of the lung. Data Sources.—Published classification systems from the World Health Organization and pertinent peer-reviewed articles indexed in PubMed (National Library of Medicine) form the basis of this review. Conclusions.—Accurate classification of the neuroendocrine tumors of the lung requires knowledge of specific criteria separating the major categories, which is essential for determining prognosis and treatment.

Sign in / Sign up

Export Citation Format

Share Document