Browsing Institute of New Imaging Technologies (INIT) by Title
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Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard
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 ... -
Reply to Ollinger et al.: Remote sensing of leaf nitrogen and emergent ecosystem properties (Letter)
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. ... -
Reply to Townsend et al.: Decoupling contributions from canopy structure and leaf optics is critical for remote sensing leaf biochemistry (Letter)
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 ... -
Representation of Group Isomorphisms: The Compact Case
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 ... -
Reproducibilidad en AGILE: Experiencias, logros y recomendaciones
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 ... -
Reproducible research and GIScience: an evaluation using AGILE conference papers
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 ... -
Reproducible Research and GIScience: An Evaluation Using GIScience Conference Papers
Schloss Dagstuhl Leibniz-Zentrum für Informatik GmbH (2021-09-14)GIScience conference authors and researchers face the same computational reproducibility challenges as authors and researchers from other disciplines who use computers to analyse data. Here, to assess the reproducibility ... -
Resample-smoothing of Voronoi intensity estimators
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 ... -
Resilience in Teachers: Validation of the Spanish Version of the CD-RISC10© Scale in Early Childhood, Primary and Special Education Teachers
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 ... -
Resolution analysis in computational imaging with patterned illumination and bucket detection
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 ... -
Revisiting the Design Intent Concept in the Context of Mechanical CAD Education
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 ... -
Revisiting the Dissimilarity Representation in the Context of Regression
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, ... -
Revisiting the random shift approach for testing in spatial statistics
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 ... -
Rice-yield prediction with multi-temporal sentinel-2 data and 3D CNN: A case study in Nepal
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 ... -
Risk factors and spatial distribution of urban rat infestations
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 ... -
Roadblocks Hindering the Reuse of Open Geodata in Colombia and Spain: A Data User’s Perspective
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. ... -
Roadmap on 3D integral imaging: sensing, processing, and display
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 ... -
Roadmap on digital holography
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 ... -
Roadmap on optical security: Optical encryption by computational ghost imaging
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 ... -
Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
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 ...