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1. |
Record Nr. |
UNISOBSOB007218 |
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Autore |
Noventa, Giacomo |
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Titolo |
Versi e poesie / Giacomo Noventa ; Con una prefazione di Aldo Garosci |
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Pubbl/distr/stampa |
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Milano, : Mondadori, 1960 |
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Descrizione fisica |
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Collana |
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<Lo >specchio . I poeti del nostro tempo |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910299890803321 |
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Titolo |
Mathematical Models for Remote Sensing Image Processing : Models and Methods for the Analysis of 2D Satellite and Aerial Images / / edited by Gabriele Moser, Josiane Zerubia |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (X, 441 p. 139 illus.) |
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Collana |
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Signals and Communication Technology, , 1860-4862 |
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Disciplina |
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Soggetti |
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Signal processing |
Image processing |
Speech processing systems |
Mathematical models |
Lasers |
Photonics |
Remote sensing |
Signal, Image and Speech Processing |
Mathematical Modeling and Industrial Mathematics |
Optics, Lasers, Photonics, Optical Devices |
Remote Sensing/Photogrammetry |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Mathematical models and methods for remote sensing image analysis: an introduction -- Models for hyperspectral image analysis: from unmixing to object-based classification -- Very high spatial resolution optical imagery: tree-based methods and multi-temporal models for mining and analysis -- Very high resolution and interferometric SAR: Markovian and patch-based non-local mathematical models -- Polarimetric SAR modelling: Mellin kind statistics and time-frequency analysis -- Remote sensing data fusion: guided filter-based hyperspectral pansharpening and graph-based feature-level fusion -- “Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classification -- Change detection in multitemporal images through single-and multi-scale approaches -- Satellite image time series: mathematical models for data mining and missing data restoration -- Advances in kernel machines for image classification and biophysical parameter retrieval. |
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Sommario/riassunto |
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This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners. |
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3. |
Record Nr. |
UNINA9910971351303321 |
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Autore |
Wijkman Anders <1944-, > |
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Titolo |
Bankrupting nature : denying our planetary boundaries / / Anders Wijkman and Johan Rockstrom |
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Pubbl/distr/stampa |
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Abingdon, Oxon : , : Routledge, , 2012 |
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ISBN |
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1-136-26393-4 |
0-203-10798-5 |
1-299-14129-3 |
1-136-26394-2 |
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Edizione |
[Rev. ed.] |
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Descrizione fisica |
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1 online resource (225 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Global environmental change |
Environmental policy |
Environmental protection |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"A report to the Club of Rome"--Cover. |
"First edition published 2011 by Thomas Magnusson Medstroms Bokforlag, Stockholm, Sweden." |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; Bankrupting Nature; Copyright Page; Contents; List of illustrations; Foreword by Sunita Narain; Foreword by Pavan Sukhdev; Acknowledgements; 1 The environmental space is limited; 2 'Politics in crisis' by Anders Wijkman; 3 Science's role and responsibility by Johan Rockström; 4 From Copenhagen to Durban; 5 Respect the planetary boundaries; 6 A triply green revolution; 7 Energy - the only currency; 8 The forgotten issue; 9 The weapon of doubt; 10 The greenhouse effect; 11 What climate deniers do not want to know; 12 The Arctic: the canary in the mine |
13 Is Sweden a world champion in climate policy?14 Getting the economy right; 15 The financial sector: ignoring the risks; 16 Growth's dilemma; 17 Towards a circular economy; 18 How much is enough?; 19 The road ahead; References; Index |
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Sommario/riassunto |
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This powerful book shows us that we are in deep denial about the magnitude of the global environmental challenges and resource constraints facing the world. Despite growing scientific consensus on |
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major environmental threats as well as resource depletion, societies are largely continuing with business as usual, at best attempting to tinker at the margins of the problems. The authors argue that regardless of whether governments respond to the economic crisis through additional stimulus packages or reduced government spending, environmental and resource constraints will remain. The crisis wil |
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