M
Mattia Marconcini
Researcher at German Aerospace Center
Publications - 121
Citations - 5707
Mattia Marconcini is an academic researcher from German Aerospace Center. The author has contributed to research in topics: Support vector machine & Population. The author has an hindex of 25, co-authored 110 publications receiving 4771 citations. Previous affiliations of Mattia Marconcini include European Space Agency & Fudan University.
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Journal ArticleDOI
Recent Advances in Techniques for Hyperspectral Image Processing
Antonio Plaza,Jon Atli Benediktsson,Joseph W. Boardman,J. Brazile,Lorenzo Bruzzone,Gustavo Camps-Valls,Jocelyn Chanussot,Mathieu Fauvel,Mathieu Fauvel,Paolo Gamba,Anthony J. Gualtieri,Mattia Marconcini,James C. Tilton,G. Trianni +13 more
TL;DR: A seminal view on recent advances in techniques for hyperspectral image processing, focusing on the design of techniques able to deal with the high-dimensional nature of the data, and to integrate the spa- tial and spectral information.
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Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
TL;DR: Experimental results confirmed the effectiveness and the reliability of both the DASVM technique and the proposed circular validation strategy for validating the learning of domain adaptation classifiers when no true labels for the target--domain instances are available.
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A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images
TL;DR: A novel modified TSVM classifier designed for addressing ill-posed remote-sensing problems is proposed that is able to mitigate the effects of suboptimal model selection and can address multiclass cases.
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Breaking new ground in mapping human settlements from space – The Global Urban Footprint
Thomas Esch,Thomas Esch,Wieke Heldens,Andreas Hirner,Manfred Keil,Mattia Marconcini,Achim Roth,Julian Zeidler,Stefan Dech,Stefan Dech,Emanuele Strano,Emanuele Strano +11 more
TL;DR: In this paper, the Global Urban Footprint (GUF) raster map is used for the analysis of global urbanization and peri-urbanization patterns, population estimation, vulnerability assessment, or the modeling of diseases and phenomena of global change in general.
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Urban Footprint Processor—Fully Automated Processing Chain Generating Settlement Masks From Global Data of the TanDEM-X Mission
Thomas Esch,Mattia Marconcini,Andreas Felbier,Achim Roth,Wieke Heldens,Martin Huber,Maximilian Schwinger,Hannes Taubenböck,Andreas Müller,Stefan Dech +9 more
TL;DR: The novel implementation of a fully automated processing system for the delineation of human settlements worldwide based on the SAR data acquired in the context of the TDM to provide highly accurate geo-data for an improved global mapping of human settlement.