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標(biāo)題: Titlebook: Mathematical Models for Remote Sensing Image Processing; Models and Methods f Gabriele Moser,Josiane Zerubia Book 2018 Springer Internation [打印本頁]

作者: centipede    時間: 2025-3-21 17:28
書目名稱Mathematical Models for Remote Sensing Image Processing影響因子(影響力)




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書目名稱Mathematical Models for Remote Sensing Image Processing年度引用學(xué)科排名




書目名稱Mathematical Models for Remote Sensing Image Processing讀者反饋




書目名稱Mathematical Models for Remote Sensing Image Processing讀者反饋學(xué)科排名





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Remote Sensing Data Fusion: Guided Filter-Based Hyperspectral Pansharpening and Graph-Based Featured/fused together, provide a more comprehensive interpretation of land cover/use (urban and climatic changes), natural disasters (floods, hurricanes, and earthquakes), and potential exploitation (oil fields and minerals). However, automatic interpretation of remote sensing data remains challenging. T
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Mathematical Models for Remote Sensing Image ProcessingModels and Methods f
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de and high level features. The context of our work is an industrial SPL adoption project of a large scale logistical information system written in an 4G language, Magic. We demonstrate the benefits of the combined method and its use by different stakeholders in this project.
作者: 打擊    時間: 2025-3-24 02:32
Gabriele Moser,Josiane Zerubia,Sebastiano B. Serpico,Jon A. Benediktsson technique on this data set to create a ranking enriched with confidence metrics. We perform a case study of a real-world computer-generated art system. The results of our approach on the arts domain reveal interesting directions for the analysis of user-specific qualities of SPLs.
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Emmanuel Maggiori,Antonio Plaza,Yuliya Tarabalkade and high level features. The context of our work is an industrial SPL adoption project of a large scale logistical information system written in an 4G language, Magic. We demonstrate the benefits of the combined method and its use by different stakeholders in this project.
作者: 大雨    時間: 2025-3-24 12:40
Fabio Pacifici,Georgios K. Ouzounis,Lionel Gueguen,Giovanni Marchisio,William J. Emeryde and high level features. The context of our work is an industrial SPL adoption project of a large scale logistical information system written in an 4G language, Magic. We demonstrate the benefits of the combined method and its use by different stakeholders in this project.
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Torbj?rn Eltoft,Laurent Ferro-Famil,Stian N. Anfinsen,Anthony P. Doulgerison party politics and democratisation before exploring the role played by parties in the Middle East and North Africa (MENA) prior to the 2011 uprisings. This is followed by a critical analysis of the trajectory of political opposition in Egypt before and after the demise of the Mubarak regime. The
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Devis Tuia,Michele Volpi,Jochem Verrelst,Gustau Camps-Vallsreas and are focusing their efforts on studying them and the challenges they pose..This thesis offers an extensive introduction on the general aspects of chirality and organocatalysis and an equally extensive experimental section that allow nonexperts to understand the discussion section and reprodu
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1860-4862 r topics such as information and signal theory, acoustic sig.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, hyperspe
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Very-High-Resolution and Interferometric SAR: Markovian and Patch-Based Non-local Mathematical Mode to SAR images through the use of statistical models specific to SAR imagery. Their applications to amplitude data, interferometry, and fusion with optical data are illustrated. A special focus is given to phase unwrapping applied to single- and multi-channel interferometry, showing the usefulness of local and global contextual models.
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Book 2018 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-resoluti
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ption of SPL architecture in an existing legacy system. In this case, the extractive approach of SPL adoption turned out to be the most viable method, where the system is redesigned keeping variants within the same code base. The analysis of the feature structure is a crucial point in this process a
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Emmanuel Maggiori,Antonio Plaza,Yuliya Tarabalkaption of SPL architecture in an existing legacy system. In this case, the extractive approach of SPL adoption turned out to be the most viable method, where the system is redesigned keeping variants within the same code base. The analysis of the feature structure is a crucial point in this process a
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Torbj?rn Eltoft,Laurent Ferro-Famil,Stian N. Anfinsen,Anthony P. Doulgerisrstanding of political dynamics under authoritarian conditions. The Arab uprisings of 2011 initiated a shift in perceptions, particularly, as electoral politics appeared to have assumed a newfound significance. In the case of Egypt, a formerly controlled political system witnessed a brief flourishin
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Jon A. Benediktsson,Gabriele Cavallaro,Nicola Falco,Ihsen Hedhli,Vladimir A. Krylov,Gabriele Moser,Slike genetic algorithms, they operate on a small set of solutions and employ diversification strategies of the form proposed in Tabu Search, which give precedence to strategic learning based on adaptive memory, with limited recourse to randomization. The fundamental concepts and principles were firs
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Bruno Aiazzi,Francesca Bovolo,Lorenzo Bruzzone,Andrea Garzelli,Davide Pirrone,Claudia Zoppettint and modern approach enabling readers to understand issues.This book highlights the growing number of ‘post-bureaucratic’ firms that are abandoning hierarchical organizational forms in favor of self-managing teams. ?Addressing the need to outperform, these new organization types foresee the benefi
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Nicolas Méger,Edoardo Pasolli,Christophe Rigotti,Emmanuel Trouvé,Farid Melganint and modern approach enabling readers to understand issues.This book highlights the growing number of ‘post-bureaucratic’ firms that are abandoning hierarchical organizational forms in favor of self-managing teams. ?Addressing the need to outperform, these new organization types foresee the benefi
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Devis Tuia,Michele Volpi,Jochem Verrelst,Gustau Camps-Vallsg the many aspects of both vinylogy and atropisomerism, it appeals to researchers and scholars interested in both areas..Organocatalysis is a relatively modern and “hot” topic in the chemical community; it is constantly expanding and its use has been extended to interesting areas like vinylogous rea
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Very High Spatial Resolution Optical Imagery: Tree-Based Methods and Multi-temporal Models for Mini Each method aims at specific properties of the image information content and can be tailored to address unique features in spatial, temporal, and angular acquisitions. Techniques for the identification and characterization of surface structures and objects often employ spatial and spectral features
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Polarimetric SAR Modelling: Mellin Kind Statistics and Time-Frequency Analysis, transform the polarization state of incoming electromagnetic waves to extract information. This field of remote sensing deals with complex, multi-dimensional data sets, requiring multi-dimensional signal analysis strategies. Target information is in general extracted from PolSAR data by an analysis
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Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolut variety of data modalities. They encompass multisensor, multiresolution, multiscale, multitemporal, multipolarization, and multifrequency imagery. While they represent remarkable opportunities for the applications, they pose important challenges to the development of mathematical methods aimed at f
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Satellite Image Time Series: Mathematical Models for Data Mining and Missing Data Restoration,Series (SITS), extremely useful to monitor natural or man-made phenomena on the ground. In this chapter, after providing a brief overview of the most recent methods proposed to process and/or analyze time series of remotely sensed data, we describe methods handling two issues: the unsupervised explo
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Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval,nmental data analysis. Modern imaging sensors offer the necessary spatial and spectral information to tackle a wide range problems through Earth Observation, such as land cover and use updating, urban dynamics, or vegetation and crop monitoring. In the upcoming years even richer information will be




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