50 wege zur kreativen Fotografie / / Michael Freeman
| 50 wege zur kreativen Fotografie / / Michael Freeman |
| Autore | Freeman Michael |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, [England] : , : mitp, , 2017 |
| Descrizione fisica | 1 online resource (255 pages) : illustrations, tables, photographs |
| Disciplina | 771 |
| Collana | mitp Edition ProfiFoto |
| Soggetto topico |
Photography - Technique
Photography - Special effects |
| ISBN | 3-95845-459-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910162994903321 |
Freeman Michael
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| London, [England] : , : mitp, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in hyperspectral image processing techniques / / edited by Chein-I Chang
| Advances in hyperspectral image processing techniques / / edited by Chein-I Chang |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley : , : IEEE Press, , [2023] |
| Descrizione fisica | 1 online resource (611 pages) |
| Disciplina | 771 |
| Collana | IEEE Press |
| Soggetto topico |
Hyperspectral imaging
Image processing |
| ISBN |
1-119-68778-0
1-119-68775-6 1-119-68777-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Editor Biography -- List of Contributors -- Preface -- Part I General Theory -- Chapter 1 Introduction: Two Fundamental Principles Behind Hyperspectral Imaging -- 1.1 Introduction -- 1.2 Why Is Hyperspectral Imaging? -- 1.3 Two Principles for Hyperspectral Imaging -- 1.3.1 Pigeon-Hole Principle -- 1.3.2 Orthogonality Principle -- 1.4 What Are the Issues of Hyperspectral Imaging? -- 1.5 Determination of p by Virtual Dimensionality via Pigeon-Hole Principle -- 1.6 Order Determination of Low Rank and Sparse Matrices by Virtual Dimensionality via Pigeon-Hole Principle -- 1.7 Band Selection by Pigeon-Hole Principle -- 1.8 Band Selection by a Hyperspectral Band Channel via Pigeon-Hole Principle -- 1.9 Band Sampling via Pigeon-Hole Principle -- 1.10 Spectral Unmixing via Orthogonality Principle -- 1.11 Target Detection by Orthogonality Principle -- 1.11.1 ATGP -- 1.11.1.1 Automatic Target Generation Process (ATGP) -- 1.11.2 Constrained Energy Minimization (CEM) -- 1.12 Anomaly Detection by Orthogonality Principle -- 1.13 Endmember Finding by Orthogonality Principle -- 1.13.1 Pixel Purity Index (PPI) -- 1.13.2 Vertex Component Analysis (VCA) -- 1.13.3 Simplex Growing Algorithm (SGA) -- 1.14 Low Rank and Sparse Representation by OSP via Orthogonality Principle -- 1.15 Hyperspectral Classification -- 1.15.1 Hyperspectral Mixed Pixel Classification (HMPC) -- 1.15.2 Number of Sampled Bands Lower Than Number of Classes -- 1.15.3 Potential and Promise of Band Sampling in HMPC -- 1.16 Conclusion -- References -- Chapter 2 Overview of Hyperspectral Imaging Remote Sensing from Satellites -- 2.1 Hyperspectral Imaging Remote Sensing from Airplanes to Satellites -- 2.1.1 History of Development of Airborne Hyperspectral Imagers.
2.1.2 Early Development of Spaceborne Hyperspectral Imagers -- 2.2 Development of Spaceborne Hyperspectral Imagers in the Last Two Decades -- 2.2.1 Survey of Spaceborne Hyperspectral Imagers -- Acronyms List -- 2.2.2 Brief Description of Spaceborne Hyperspectral Imagers -- 2.2.2.1 Visible Imagers and Spectrographic Imagers (UVISI) Onboard the MSX Satellite -- 2.2.2.2 HyperSpectral Imager (HSI) for the LEWIS Mission -- 2.2.2.3 MODIS Onboard Terra and Aqua Satellites -- 2.2.2.4 Hyperion Onboard NASA's EO-1 Satellite -- 2.2.2.5 CHRIS Onboard ESA's PROBA Satellite -- 2.2.2.6 MERIS Onboard ESA's ENVISAT Satellite -- 2.2.2.7 VIRTIS for ESA's Rosetta, Venus-Express, and NASA-Dawn Planetary Missions -- 2.2.2.8 CRISM Aboard Mars Reconnaissance Orbiter -- 2.2.2.9 Moon Mineralogy Mapper for Mapping Lunar Surface -- 2.2.2.10 Fourier Transform Hyperspectral Imager Onboard Chinese Environment Satellite -- 2.2.2.11 HySI Onboard Indian Mini Satellite-1 -- 2.2.2.12 ARTEMIS Onboard TacSat-3 -- 2.2.2.13 HICO Onboard the International Space Station -- 2.2.2.14 Visible and Near-infrared Imaging Spectrometer Aboard Chang'E 3 Spacecraft -- 2.2.2.15 Ocean and Land Color Imager (OLCI) on Sentinel-3A -- 2.2.2.16 Miniature High-Resolution Imaging Spectrometer on GHGSat-D -- 2.2.2.17 Aalto-1 Spectral Imager .(AaSI) on a 3U Nanosatellite -- 2.2.2.18 DLR Earth Sensing Imaging Spectrometer on the International Space Station -- 2.2.2.19 HyperScout Hyperspectral Camera on ESA's Nanosatellite GomX-4B -- 2.2.2.20 Advanced Hyperspectral Imager (AHSI) on Chinese Gaofen-5 Satellite -- 2.2.2.21 Italian Hyperspectral Satellite PRISMA -- 2.2.2.22 Hyperspectral Imager Suite Onboard the International Space Station -- 2.2.2.23 German Spaceborne Hyperspectral Imager EnMAP -- 2.2.2.24 ESA's Moons and Jupiter Imaging Spectrometer (MAJIS) -- 2.3 Conclusion. References -- Chapter 3 Efficient Hardware Implementation for Hyperspectral Anomaly and Target Detection -- 3.1 Introduction -- 3.2 Hyperspectral Anomaly and Target Detection -- 3.2.1 DPBS-CEM -- 3.2.2 DBN-RXD -- 3.2.3 Fast-ATGP -- 3.2.4 Fast-MGD -- 3.3 Model-Based Design -- 3.3.1 What is Model-Based Design? -- 3.3.2 FPGA Development Based on MBD -- 3.3.3 Examples of IP Design Based on HLS -- 3.3.3.1 Efficient Off-Chip Storage Access IP -- 3.3.3.2 Parallel Matrix Multiplication IP -- 3.3.3.3 Matrix Dot-Product-Plus IP -- 3.3.3.4 Erosion/Dilation IP -- 3.4 System Integration Framework Design -- 3.4.1 Efficient FPGA Implementation -- 3.4.1.1 FPGA Implementation of DPBS-CEM -- 3.4.1.2 FPGA Implementation of DBN-RXD -- 3.4.1.3 FPGA Implementation of Fast-ATGP -- 3.4.1.4 FPGA Implementation of Fast-MGD -- 3.5 Experiments and Discussions -- 3.5.1 Hyperspectral Image Data Set -- 3.5.1.1 TE1 Data Set -- 3.5.1.2 HyMap Data Set -- 3.5.1.3 Airport-Beach-Urban. .(ABU) Data Set -- 3.5.1.4 Cuprite Data Set -- 3.5.1.5 San Diego Data Set -- 3.5.1.6 HYDICE Data Set -- 3.5.2 Experiments of DPBS-CEM -- 3.5.2.1 Detection Accuracy -- 3.5.2.2 Acceleration Performance -- 3.5.3 Experiments of DBN-RXD -- 3.5.3.1 Detection Accuracy -- 3.5.3.2 Acceleration Performance -- 3.5.4 Experiments of Fast-ATGP -- 3.5.4.1 Detection Accuracy -- 3.5.4.2 Results for the AVIRIS Cuprite Scene -- 3.5.5 Experiments of Fast-MGD -- 3.5.5.1 Detection Accuracy -- 3.5.5.2 Performance Evaluation -- 3.6 Conclusion -- References -- Part II Band Selection for Hyperspectral Imaging -- Chapter 4 Constrained Band Selection for Hyperspectral Imaging -- 4.1 Introduction -- 4.2 Constrained BS -- 4.2.1 Band Vector-Constrained BS -- 4.2.1.1 Band Correlation Minimization (BCM) -- 4.2.1.2 Band Dependence Minimization (BDM). 4.2.1.3 Band Correlation Constraint (BCC) -- 4.2.1.4 Band Dependence Constraint (BDC) -- 4.2.2 Band Image-Constrained BS -- 4.3 BCBS Experiments -- 4.3.1 HYDICE Data -- 4.3.1.1 Target Detection -- 4.3.1.2 Unsupervised Mixed Pixel Classification -- 4.3.2 AVIRIS Cuprite Data -- 4.4 Target-Constrained BS -- 4.4.1 Target-Constrained Band Prioritization -- 4.4.1.1 Single Band Minimum Variance Band Prioritization by TCBS -- 4.4.1.2 Leave-One-Out Maximum Variance Band Prioritization by TCBS -- 4.4.2 Constrained-Target Band Selection -- 4.4.2.1 Sequential Feed-Forward TCBS -- 4.4.2.2 Sequential Backward TCBS -- 4.5 TCBS Experiments -- 4.6 Conclusion -- References -- Chapter 5 Band Subset Selection for Hyperspectral Imaging -- 5.1 Introduction -- 5.2 Simultaneous Multiple Band Selection -- 5.3 Search Strategies for BSS -- 5.3.1 Sequential Band Subset Selection -- 5.3.2 Successive Band Subset Selection -- 5.4 Channel Capacity BSS -- 5.5 Multiple Band-Constrained Band Subset Selection -- 5.5.1 Constrained BSS (CBSS) -- 5.5.2 Search Algorithms for CBSS -- 5.5.2.1 Sequential CBSS (SQ CBSS) -- 5.5.2.2 Successive CBSS (SC CBSS) -- 5.6 Application-Specified BSS (AS-BSS) -- 5.6.1 Application to Hyperspectral Classification -- 5.6.2 LCMV Criterion for BSS -- 5.6.3 LCMV-BSS Algorithms -- 5.6.3.1 SQ LCMV-CBSS -- 5.6.3.2 SC LCMV-CBSS -- 5.7 Experiments -- 5.7.1 MBC-BSS -- 5.7.2 MTC-BSS -- 5.7.2.1 Purdue Indiana Indian Pines Scene -- 5.7.2.2 Salinas -- 5.7.2.3 ROSIS Data -- 5.8 Conclusion -- References -- Chapter 6 Progressive Band Selection Processing for Hyperspectral Image Classification -- 6.1 Introduction -- 6.2 Measures of Class Classification Priority -- 6.3 p-Ary Huffman Coding Tree Construction -- 6.4 Iterative LCMV -- 6.4.1 Linearly Constrained Minimum Variance (LCMV). 6.4.2 Iterative Linearly Constrained Minimum Variance (ILCMV) -- 6.5 Class Signature Constrained Band Prioritization-Based Band Selection -- 6.6 Progressive Band Selection -- 6.7 Classification Measures -- 6.8 Real Images to be Used for Experiments -- 6.8.1 Purdue Indiana Indian Pines -- 6.8.2 Salinas -- 6.8.3 ROSIS Data -- 6.9 Experiments -- 6.9.1 Purdue Indiana Indian Pines -- 6.9.2 Salinas -- 6.9.3 University of Pavia -- 6.10 Conclusion -- References -- Part III Compressive Sensing for Hyperspectral Imaging -- Chapter 7 Restricted Entropy and Spectrum Properties for Hyperspectral Imaging -- 7.1 Introduction -- 7.2 Compressive Sensing Review -- 7.3 Restricted Entropy Property -- 7.4 Restricted Spectrum Property -- 7.5 REP and RSP Hyperspectral Measures -- 7.6 Experiments -- 7.7 Conclusion -- References -- Chapter 8 Endmember Finding in Compressively Sensed Band Domain -- 8.1 Introduction -- 8.2 Compressive Hyperspectral Band Sensing -- 8.2.1 Compressive Sensing Framework -- 8.2.2 Compressive Sensing of Hyperspectral Bands -- 8.2.3 Universality Model -- 8.3 Simplex Volume Calculation -- 8.3.1 Simplex Volume via Singular Value Decomposition -- 8.3.2 Simplex Volume via Matrix Determinant -- 8.4 Restricted Simplex Volume Property -- 8.5 Two Sequential Algorithms for p-FINDR -- 8.5.1 SeQuential p-FINDR (SQ p-FINDR) -- 8.5.2 SuCcessive p-FINDR (SC p-FINDR) -- 8.5.3 SQ p-FINDR and SC p-FINDR in CSBD -- 8.6 Experiments -- 8.6.1 Experimental Setup -- 8.6.2 Algorithm Analysis on Experimental Data -- 8.7 Experimental Results and Discussions -- 8.7.1 SQ p-FINDR Experimental Result Analysis -- 8.7.2 SC p-FINDR Experimental Result Analysis -- 8.8 Conclusion -- References -- Chapter 9 Hyperspectral Image Classification in Compressively Sensed Band Domain -- 9.1 Introduction -- 9.2 Compressive Sensing Review. 9.2.1 Compressive Sensing Framework. |
| Record Nr. | UNINA-9910830508903321 |
| Hoboken, New Jersey : , : Wiley : , : IEEE Press, , [2023] | ||
| Lo trovi qui: Univ. Federico II | ||
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Black & white artistry : the creative photographer's guide to interpreting places and spaces / / Chuck Kimmerle, award-winning landscape photographer
| Black & white artistry : the creative photographer's guide to interpreting places and spaces / / Chuck Kimmerle, award-winning landscape photographer |
| Autore | Kimmerle Chuck |
| Pubbl/distr/stampa | Buffalo, New York : , : Amherst Media, Incorporated, , [2016] |
| Descrizione fisica | 1 online resource (201 pages) : color illustrations |
| Disciplina | 771 |
| Soggetto topico | Photography - Technique |
| ISBN |
1-60895-966-X
1-60895-967-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Black and white artistry |
| Record Nr. | UNINA-9910158999303321 |
Kimmerle Chuck
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| Buffalo, New York : , : Amherst Media, Incorporated, , [2016] | ||
| Lo trovi qui: Univ. Federico II | ||
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Charts for testing lens resolution / / by Irvine C. Gardner
| Charts for testing lens resolution / / by Irvine C. Gardner |
| Autore | Gardner Irvine C (Irvine Clifton), <1889-> |
| Pubbl/distr/stampa | Washington, D.C. : , : U.S. Dept. of Commerce, Bureau of Standards : , : U.S. Govt. Print. Off., , 1940 |
| Descrizione fisica | 1 online resource (1 preliminary leaf) : plates |
| Disciplina | 771 |
| Collana | National Bureau of Standards miscellaneous publication |
| Soggetto topico | Photographic lenses |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910712920303321 |
Gardner Irvine C (Irvine Clifton), <1889->
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| Washington, D.C. : , : U.S. Dept. of Commerce, Bureau of Standards : , : U.S. Govt. Print. Off., , 1940 | ||
| Lo trovi qui: Univ. Federico II | ||
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Classic camera
| Classic camera |
| Pubbl/distr/stampa | New York, NY, : Zoom America Inc., 1997- |
| Descrizione fisica | 1 online resource |
| Disciplina | 771 |
| Soggetto topico |
Cameras
Cameras - Collectors and collecting |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996214195303316 |
| New York, NY, : Zoom America Inc., 1997- | ||
| Lo trovi qui: Univ. di Salerno | ||
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Classic camera
| Classic camera |
| Pubbl/distr/stampa | New York, NY, : Zoom America Inc., 1997- |
| Descrizione fisica | 1 online resource |
| Disciplina | 771 |
| Soggetto topico |
Cameras
Cameras - Collectors and collecting |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910143109103321 |
| New York, NY, : Zoom America Inc., 1997- | ||
| Lo trovi qui: Univ. Federico II | ||
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Corso moderno di fotografia / Kisselbach-Windisch
| Corso moderno di fotografia / Kisselbach-Windisch |
| Autore | Kisselbach, Teo |
| Pubbl/distr/stampa | Roma : Effe, c1976 |
| Descrizione fisica | 231 p. : ill. ; 22 cm |
| Disciplina | 771 |
| Collana | Fotografia |
| Soggetto non controllato | FotografiaManuali |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNIPARTHENOPE-000023595 |
Kisselbach, Teo
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| Roma : Effe, c1976 | ||
| Lo trovi qui: Univ. Parthenope | ||
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Digital Image Systems : Photography and New Technologies at the Düsseldorf School / Claus Gunti
| Digital Image Systems : Photography and New Technologies at the Düsseldorf School / Claus Gunti |
| Autore | Gunti Claus |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bielefeld, : transcript Verlag, 2020 |
| Descrizione fisica | 1 online resource (352 p.) |
| Disciplina | 771 |
| Collana | Image |
| Soggetto topico | Photography; Art; Digital; Culture; Computer; Germany; Düsseldorf School; Thomas Ruff; Andreas Gursky; Jörg Sasse; Art History of the 21st Century; European Art; Visual Studies; Fine Arts |
| Soggetto non controllato |
Andreas Gursky
Art History of the 21st Century Art Computer Culture Digital Düsseldorf School European Art Fine Arts Germany Jörg Sasse Thomas Ruff Visual Studies |
| ISBN | 3-8394-3902-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter 1 Contents 4 Introduction 8 A FRAMING THE DÜSSELDORF SCHOOL 20 B WHAT IS DIGITAL PHOTOGRAPHY? 31 Introduction 40 A EMERGENCE OF A GERMAN DOCUMENTARY TRADITION 47 B THE END OF PHOTOGRAPHY 77 C DISCOURSE ON DIGITAL PHOTOGRAPHY IN GERMANY 98 Introduction 116 A PRE-DIGITAL MECHANISMS IN CONTEXT: 1960S / 1970S 120 B SERIAL CONSTRUCTIONS AND COMBINATORIAL FUNCTIONS: A TRANS-HISTORICAL PATTERN 137 Introduction 154 A DIGITAL RETOUCHING TOOLS 156 B DIGITAL STITCHING 175 C EARLY DIGITAL COMPOSITIONS 203 D THOMAS RUFF'S ANALOGUE AND DIGITAL EXPERIMENTS WITH THE PORTRAIT 219 Introduction 240 A COMPLEX COMPOSITES: ANDREAS GURSKY'S GENERIC WORLD 243 B IMAGE RECYCLING AND APPROPRIATIVE POSITIONS 259 C THOMAS RUFF'S GENERATED PHOTOGRAPHS AND THE LIMITS OF REPRESENTATION 300 D GENERIC PICTURE REALITIES 314 5 Conclusion 320 A BIBLIOGRAPHY 334 B INDEX 346 C ACKNOWLEDGEMENTS 349 |
| Record Nr. | UNISA-996359641303316 |
Gunti Claus
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| Bielefeld, : transcript Verlag, 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Digital Image Systems : Photography and New Technologies at the Düsseldorf School / Claus Gunti
| Digital Image Systems : Photography and New Technologies at the Düsseldorf School / Claus Gunti |
| Autore | Gunti Claus <p>Claus Gunti, University of Neuchâtel and University of Art and Design Lausanne, Schweiz </p> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bielefeld, : transcript Verlag, 2020 |
| Descrizione fisica | 1 online resource (352 p.) |
| Disciplina | 771 |
| Collana | Image |
| Soggetto topico |
Photography
Art Digital Culture Computer Germany Düsseldorf School Thomas Ruff Andreas Gursky Jörg Sasse Art History of the 21st Century European Art Visual Studies Fine Arts |
| ISBN |
9783839439029
3839439027 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter 1 Contents 4 Introduction 8 A FRAMING THE DÜSSELDORF SCHOOL 20 B WHAT IS DIGITAL PHOTOGRAPHY? 31 Introduction 40 A EMERGENCE OF A GERMAN DOCUMENTARY TRADITION 47 B THE END OF PHOTOGRAPHY 77 C DISCOURSE ON DIGITAL PHOTOGRAPHY IN GERMANY 98 Introduction 116 A PRE-DIGITAL MECHANISMS IN CONTEXT: 1960S / 1970S 120 B SERIAL CONSTRUCTIONS AND COMBINATORIAL FUNCTIONS: A TRANS-HISTORICAL PATTERN 137 Introduction 154 A DIGITAL RETOUCHING TOOLS 156 B DIGITAL STITCHING 175 C EARLY DIGITAL COMPOSITIONS 203 D THOMAS RUFF'S ANALOGUE AND DIGITAL EXPERIMENTS WITH THE PORTRAIT 219 Introduction 240 A COMPLEX COMPOSITES: ANDREAS GURSKY'S GENERIC WORLD 243 B IMAGE RECYCLING AND APPROPRIATIVE POSITIONS 259 C THOMAS RUFF'S GENERATED PHOTOGRAPHS AND THE LIMITS OF REPRESENTATION 300 D GENERIC PICTURE REALITIES 314 5 Conclusion 320 A BIBLIOGRAPHY 334 B INDEX 346 C ACKNOWLEDGEMENTS 349 |
| Altri titoli varianti | Gunti, Digital Image Systems Photography and New Technologies at the Düsseldorf School |
| Record Nr. | UNINA-9910404104903321 |
Gunti Claus <p>Claus Gunti, University of Neuchâtel and University of Art and Design Lausanne, Schweiz </p>
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| Bielefeld, : transcript Verlag, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Discorsi accademici / Domenico Cirillo ; a cura di Antonio Borrelli
| Discorsi accademici / Domenico Cirillo ; a cura di Antonio Borrelli |
| Autore | Cirillo, Domenico <1739-1799> |
| Pubbl/distr/stampa | Napoli, : Denaro libri, 2013 |
| Descrizione fisica | 184 p. ; 21 cm |
| Disciplina | 771 |
| Collana | Cultura meridionale |
| ISBN | 978-88-7444-093-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-9910745399503321 |
Cirillo, Domenico <1739-1799>
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| Napoli, : Denaro libri, 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
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