1 resultado para critical information infrastructure
em ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha
Filtro por publicador
- Repository Napier (3)
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (4)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Applied Math and Science Education Repository - Washington - USA (2)
- Aquatic Commons (11)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (3)
- Aston University Research Archive (30)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- Biblioteca Digital de la Universidad del Valle - Colombia (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (20)
- Boston University Digital Common (2)
- Brock University, Canada (2)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (7)
- CaltechTHESIS (4)
- Cambridge University Engineering Department Publications Database (17)
- CamPuce - an association for the promotion of science and humanities in African Countries (1)
- CentAUR: Central Archive University of Reading - UK (34)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (5)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Cochin University of Science & Technology (CUSAT), India (5)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (14)
- CORA - Cork Open Research Archive - University College Cork - Ireland (5)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- Deakin Research Online - Australia (174)
- Digital Commons - Michigan Tech (3)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (13)
- Digital Peer Publishing (2)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (4)
- DRUM (Digital Repository at the University of Maryland) (5)
- Duke University (6)
- Ecology and Society (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Glasgow Theses Service (3)
- Greenwich Academic Literature Archive - UK (2)
- Helda - Digital Repository of University of Helsinki (5)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (12)
- Institutional Repository of Leibniz University Hannover (3)
- Instituto Politécnico do Porto, Portugal (5)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (3)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (4)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (4)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (39)
- Queensland University of Technology - ePrints Archive (303)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (23)
- Research Open Access Repository of the University of East London. (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- Scientific Open-access Literature Archive and Repository (1)
- South Carolina State Documents Depository (1)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (30)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (4)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal (1)
- Université de Montréal, Canada (8)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (1)
- University of Michigan (28)
- University of Queensland eSpace - Australia (18)
- University of Washington (3)
- WestminsterResearch - UK (5)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Satellite image classification involves designing and developing efficient image classifiers. With satellite image data and image analysis methods multiplying rapidly, selecting the right mix of data sources and data analysis approaches has become critical to the generation of quality land-use maps. In this study, a new postprocessing information fusion algorithm for the extraction and representation of land-use information based on high-resolution satellite imagery is presented. This approach can produce land-use maps with sharp interregional boundaries and homogeneous regions. The proposed approach is conducted in five steps. First, a GIS layer - ATKIS data - was used to generate two coarse homogeneous regions, i.e. urban and rural areas. Second, a thematic (class) map was generated by use of a hybrid spectral classifier combining Gaussian Maximum Likelihood algorithm (GML) and ISODATA classifier. Third, a probabilistic relaxation algorithm was performed on the thematic map, resulting in a smoothed thematic map. Fourth, edge detection and edge thinning techniques were used to generate a contour map with pixel-width interclass boundaries. Fifth, the contour map was superimposed on the thematic map by use of a region-growing algorithm with the contour map and the smoothed thematic map as two constraints. For the operation of the proposed method, a software package is developed using programming language C. This software package comprises the GML algorithm, a probabilistic relaxation algorithm, TBL edge detector, an edge thresholding algorithm, a fast parallel thinning algorithm, and a region-growing information fusion algorithm. The county of Landau of the State Rheinland-Pfalz, Germany was selected as a test site. The high-resolution IRS-1C imagery was used as the principal input data.