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Big Data Computing for Geospatial Applications
| Big Data Computing for Geospatial Applications |
| Autore | Li Zhenlong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
big data
big geospatial data big mobile navigation trajectory data CA Markov city blocks climate science cloud cloud computing cyberGIS ELT ETL fine-grained emotion classification formalization GeoAI geographic knowledge graph geographic knowledge representation GeoKG geospatial big data geospatial computing geospatial cyberinfrastructure geospatial problem-solving geovisual analytics global terrain dataset Hadoop hazard mitigation IoT knowledge base land-use change prediction machine learning MapReduce massive data metadata missing road mobility community overlay analysis parallel computing sensor data shape complexity smart card data social media spatial thinking spatio-temporal analysis task terrain modeling topographic surface topology transit corridor trip web cataloging service workflow |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557664803321 |
Li Zhenlong
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto topico | Computer science |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN |
9783038976851
3038976857 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (363 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN |
9783038976998
3038976997 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metadata for semantic and social applications : proceedings of international conference on Dublin Core and metadata applications, 22-26 September 2008 : DC 2008 : Berlin, Germany / / edited by Jane Greenberg and Wolfgang Klas
| Metadata for semantic and social applications : proceedings of international conference on Dublin Core and metadata applications, 22-26 September 2008 : DC 2008 : Berlin, Germany / / edited by Jane Greenberg and Wolfgang Klas |
| Autore | Greenberg Jane |
| Pubbl/distr/stampa | Universitätsverlag Göttingen, 2008 |
| Descrizione fisica | 1 online resource (235 pages) : digital, PDF file(s) |
| Soggetto topico |
Social Sciences
Library & Information Science |
| Soggetto non controllato |
metadata
social applications semantic applications Dublin Core Folksonomy Library of Congress Subject Headings Resource Description Framework Simple Knowledge Organization System Uniform Resource Identifier |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910563177003321 |
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Greenberg Jane
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| Universitätsverlag Göttingen, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metadata for semantic and social applications : proceedings of international conference on Dublin Core and metadata applications, 22-26 September 2008 : DC 2008 : Berlin, Germany / / edited by Jane Greenberg and Wolfgang Klas
| Metadata for semantic and social applications : proceedings of international conference on Dublin Core and metadata applications, 22-26 September 2008 : DC 2008 : Berlin, Germany / / edited by Jane Greenberg and Wolfgang Klas |
| Autore | Greenberg Jane |
| Pubbl/distr/stampa | Universitätsverlag Göttingen, 2008 |
| Descrizione fisica | 1 online resource (235 pages) : digital, PDF file(s) |
| Soggetto topico |
Social Sciences
Library & Information Science |
| Soggetto non controllato |
metadata
social applications semantic applications Dublin Core Folksonomy Library of Congress Subject Headings Resource Description Framework Simple Knowledge Organization System Uniform Resource Identifier |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996198540703316 |
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Greenberg Jane
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| Universitätsverlag Göttingen, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Selling digital music, formatting culture / / Jeremy Wade Morris
| Selling digital music, formatting culture / / Jeremy Wade Morris |
| Autore | Morris Jeremy Wade <1976-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (284 p.) |
| Disciplina | 381/.4578 |
| Soggetto topico |
Music trade - Technological innovations
Music and the Internet Digital jukebox software |
| Soggetto non controllato |
cloud computing
digital jukebox digital music commodity digital music history of digital music history of music technology history of music history of recorded music industrial production of music itunes media studies metadata music and the internet music criticism music history music in popular culture music industry music marketing music technology music musicians napster popular music studies winamp |
| ISBN | 0-520-96293-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- List of Figures -- Acknowledgments -- Introduction: The Digital Music Commodity -- 1. Music as a Digital File -- 2. Making Technology Behave -- 3. This Business of Napster -- 4. Click to Buy: Music in Digital Stores -- 5. Music in the Cloud -- Conclusion: Exceptional Objects -- Notes -- Works Cited -- Index |
| Record Nr. | UNINA-9910797351403321 |
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Morris Jeremy Wade <1976->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Selling digital music, formatting culture / / Jeremy Wade Morris
| Selling digital music, formatting culture / / Jeremy Wade Morris |
| Autore | Morris Jeremy Wade <1976-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (284 p.) |
| Disciplina | 381/.4578 |
| Soggetto topico |
Music trade - Technological innovations
Music and the Internet Digital jukebox software |
| Soggetto non controllato |
cloud computing
digital jukebox digital music commodity digital music history of digital music history of music technology history of music history of recorded music industrial production of music itunes media studies metadata music and the internet music criticism music history music in popular culture music industry music marketing music technology music musicians napster popular music studies winamp |
| ISBN | 0-520-96293-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- List of Figures -- Acknowledgments -- Introduction: The Digital Music Commodity -- 1. Music as a Digital File -- 2. Making Technology Behave -- 3. This Business of Napster -- 4. Click to Buy: Music in Digital Stores -- 5. Music in the Cloud -- Conclusion: Exceptional Objects -- Notes -- Works Cited -- Index |
| Record Nr. | UNINA-9910814693403321 |
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Morris Jeremy Wade <1976->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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