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Mostrando ítems 564-583 de 750

    • openAccess   Remote Sensing Single-Image Superresolution Based on a Deep Compendium Model 

      Haut, Juan M.; Paoletti, Mercedes Eugenia; Fernandez-Beltran, Ruben; Plaza, Javier; Plaza, Antonio; Li, Jun IEEE (2019-03)
      This letter introduces a novel remote sensing single-image superresolution (SR) architecture based on a deep efficient compendium model. The current deep learning-based SR trend stands for using deeper networks to improve ...

    • openAccess   Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard 

      Sakellariou, Stavros; Cabral, Pedro; Caetano, Mario; Pla, Filiberto; Painho, Marco; Christopoulou, Olga; Sfougaris, Athanassios; Dalezios, Nicolas; Vasilakos, Christos MDPI (2020)
      Forest fires are a natural phenomenon which might have severe implications on naturaland anthropogenic ecosystems. Future projections predict that, under a climate change environment,the fire season would be lengthier with ...

    • closedAccess   Reply to Ollinger et al.: Remote sensing of leaf nitrogen and emergent ecosystem properties (Letter) 

      Latorre Carmona, Pedro; Knyazikhin, Yuri; Lewis, Philip; Disney, Mathias I.; Mõttus, Matti; Stenberg, Pauline; Rautiainen, Miina; Kaufmann, Robert K.; Marshak, Alexander; Schull, Mitchell A.; Vanderbilt, Vern; Davis, Anthony B.; Baret, Frédéric; Jacquemoud, Stéphane; Lyapustin, Alexei; Yang, Yan; Myneni, Ranga B. National Academy of Sciences (2013)
      Various physical, chemical, and physiological processes, including canopy structure, impact surface reflectance. Remote sensing aims to derive ecosystem properties and their functional relationships, given these impacts. ...

    • openAccess   Reply to Townsend et al.: Decoupling contributions from canopy structure and leaf optics is critical for remote sensing leaf biochemistry (Letter) 

      Latorre Carmona, Pedro; Knyazikhin, Yuri; Lewis, Philip; Disney, Mathias I.; Stenberg, Pauline; Mõttus, Matti; Rautiainen, Miina; Kaufmann, Robert K.; Marshak, Alexander; Schull, Mitchell A.; Vanderbilt, Vern; Davis, Anthony B.; Baret, Frédéric; Jacquemoud, Stéphane; Lyapustin, Alexei; Yang, Yan; Myneni, Ranga B. National Academy of Sciences (2013)
      Townsend et al. (1) agree that we explain the observed relationship (2) between foliar nitrogen (%N) and near-infrared (NIR) canopy reflectance is largely due to structure - i.e., structural variation due to fraction of ...

    • openAccess   Representation of Group Isomorphisms: The Compact Case 

      Ferrer González, María Vicenta; Gary Gutierrez, Margarita; Hernández, Salvador Hindawi Publishing Corporation (2015)
      Let 𝐺� be a discrete group and let A and B be two subgroups of 𝐺�-valued continuous functions defined on two 0-dimensional compact spaces 𝑋� and 𝑌�. A group isomorphism 𝐻� defined between A and B is called separating ...

    • openAccess   Reproducibilidad en AGILE: Experiencias, logros y recomendaciones 

      Granell, Carlos; Hofer, Barbara; Nüst, Daniel; Ostermann, Frank; Sileryte, Rusne Comisión de Cartografía del Instituto Panamericano de Geografía e Historia (IPGH) (2020)
      Este artículo describe las experiencias, actividades realizadas, recursos generados y recomendaciones para la promoción e incentivación de prácticas en investigación reproducible en el campo de la ciencia de la información ...

    • openAccess   Reproducible research and GIScience: an evaluation using AGILE conference papers 

      Nüst, Daniel; Granell, Carlos; Hofer, Barbara; Konkol, Markus; Ostermann, Frank; Sileryte, Rusne; Cerutti, Valentina PeerJ (2018)
      The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into ...

    • openAccess   Resample-smoothing of Voronoi intensity estimators 

      Moradi, Mehdi; Cronie, Ottmar; Rubak, Ege; Lachieze-Rey, Raphael; Mateu, Jorge Springer (2019)
      Voronoi estimators are non-parametric and adaptive estimators of the intensity of a point process. The intensity estimateat a given location is equal to the reciprocal of the size of the Voronoi/Dirichlet cell containing ...

    • openAccess   Resilience in Teachers: Validation of the Spanish Version of the CD-RISC10© Scale in Early Childhood, Primary and Special Education Teachers 

      Flores Buils, Raquel; Caballer Miedes, Antonio; Mateu Pérez, Rosa MDPI (2022-09-22)
      Schools are a fundamental context for processes of promotion and generation of resilience, since they focus not only on aspects of academic development, but also of personal and social development. Resilience in the ...

    • openAccess   Resolution analysis in computational imaging with patterned illumination and bucket detection 

      Rodríguez Jiménez, Ángel David; Clemente Pesudo, Pedro Javier; Irles, Esther; Tajahuerce, Enrique; Lancis, Jesús Optical Society of America (2014)
      In computational imaging by pattern projection, a sequence of microstructured light patterns codified onto a programmable spatial light modulator is used to sample an object. The patterns are used as generalized measurement ...

    • openAccess   Revisiting the Design Intent Concept in the Context of Mechanical CAD Education 

      Otey, Jeffrey; Company, Pedro; Contero, Manuel; Dorribo Camba, Jorge Taylor & Francis (2018-01)
      Design intent is generally understood simply as a CAD model’s anticipated behavior when altered. However, this representation provides a simplified view of the model’s construction and purpose, which may hinder its general ...

    • openAccess   Revisiting the Dissimilarity Representation in the Context of Regression 

      García, Vicente; Sánchez Garreta, Josep Salvador; Martínez-Peláez, Rafael; Méndez-González, Luis Carlos IEEE (2021-12-02)
      In machine learning, a natural way to represent an instance is by using a feature vector. However, several studies have shown that this representation may not accurately characterize an object. For classification problems, ...

    • closedAccess   Revisiting the random shift approach for testing in spatial statistics 

      Mrkvicka, Tomas; Dvořák, Jiří; González, Jonatan A.; Mateu, Jorge Elsevier (2020)
      We consider the problem of non-parametric testing of independence of two components of a stationary bivariate spatial process. In particular, we revisit the random shift approach that has become the standard method for ...

    • openAccess   Rice-yield prediction with multi-temporal sentinel-2 data and 3D CNN: A case study in Nepal 

      Fernandez-Beltran, Ruben; Baidar, Tina; kang, jian; Pla, Filiberto Multidisciplinary Digital Publishing Institute (2021-04-04)
      Crop yield estimation is a major issue of crop monitoring which remains particularly challenging in developing countries due to the problem of timely and adequate data availability. Whereas traditional agricultural systems ...

    • closedAccess   Risk factors and spatial distribution of urban rat infestations 

      Tamayo Uria, Ibon; Mateu, Jorge; Escobar, Francisco; Mughini Gras, Lapo Springer Verlag (2014-03)
      Urban rat infestations have multifactorial causes and may result in severe public health and environmental problems, as well as heavy economic losses. The identification of putative environmental determinants of urban rat ...

    • openAccess   Roadblocks Hindering the Reuse of Open Geodata in Colombia and Spain: A Data User’s Perspective 

      Benítez Páez, Fernando; Degbelo, Auriol; Trilles, Sergio; Huerta, Joaquin MDPI (2017-12)
      Open data initiatives are playing an important role in current city governments. Despite more data being made open, few studies have looked into barriers to open geographic data reuse from a data consumer’s perspective. ...

    • openAccess   Roadmap on 3D integral imaging: sensing, processing, and display 

      Javidi, Bahram; Carnicer, Artur; Arai, Jun; Fujii, Toshiaki; Hua, Hong; Liao, Hongen; Martinez-Corral, Manuel; Pla, Filiberto; Stern, Adrian; Waller, Laura; Wang, Qiong-Hua; Wetzstein, Gordon; Yamaguchi, Masahiro; Yamamoto, Hirotsugu Optical Society of America (2020)
      This Roadmap article on three-dimensional integral imaging provides an overview of some of the research activities in the field of integral imaging. The article discusses various aspects of the field including sensing ...

    • openAccess   Roadmap on digital holography 

      Javidi, Bahram; Carnicer, Artur; Anand, Arun; Barbastathis, George; CHEN, Wen; Ferraro, Pietro; Goodman, Joseph; Horisaki, Ryoichi; Khare, Kedar; Kujawińska, Małgorzata; Leitgeb, Rainer; Marquet, Pierre; Nomura, Takanori; Ozcan, Aydogan; Park, YongKeun; Pedrini, Giancarlo; PICART, Pascal; Rosen, Joseph; Saavedra Tortosa, Genaro; Shaked, Natan T.; Stern, Adrian; Tajahuerce, Enrique; Tian, Lei; Wetzstein, Gordon; Yamaguchi, Masahiro Optica Publishing Group (2021-10-12)
      This Roadmap article on digital holography provides an overview of a vast array of research activities in the field of digital holography. The paper consists of a series of 25 sections from the prominent experts in digital ...

    • openAccess   Roadmap on optical security: Optical encryption by computational ghost imaging 

      Tajahuerce, Enrique; Lancis, Jesús IOP Publishing (2016)
      Information security and authentication are important challenges facing society. Recent attacks by hackers on the databases of large commercial and financial companies have demonstrated that more research and development ...

    • openAccess   Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise 

      kang, jian; Fernandez-Beltran, Ruben; Duan, Puhong; Kang, Xudong; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-12-16)
      Most deep metric learning-based image characterization methods exploit supervised information to model the semantic relations among the remote sensing (RS) scenes. Nonetheless, the unprecedented availability of large-scale ...