Listar Institute of New Imaging Technologies (INIT) por título

Mostrando ítems 209-228 de 841

    • openAccess   D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey 

      Chukhno, Nadezhda; Trilles, Sergio; Torres-Sospedra, Joaquín; Iera, Antonio; ARANITI, Giuseppe Institute of Electrical and Electronics Engineers (2021-07-21)
      Emerging communication network applications require a location accuracy of less than 1m in more than 95% of the service area. For this purpose, 5G New Radio (NR) technology is designed to facilitate high-accuracy continuous ...

    • openAccess   DAT-CNN: Dual Attention Temporal CNN for Time-Resolving Sentinel-3 Vegetation Indices 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto; Yokoya, Naoto IEEE (2022-03-22)
      The synergies between Sentinel-3 (S3) and the forthcoming fluorescence explorer (FLEX) mission bring us the opportunity of using S3 vegetation indices (VI) as proxies of the solar-induced chlorophyll fluorescence (SIF) ...

    • closedAccess   Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets 

      Quezada Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari; Granell, Carlos; Huerta, Joaquin IEEE (2022)
      Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need to be pre-processed prior to being ...

    • openAccess   Data on CO2, temperature and air humidity records in Spanish classrooms during the reopening of schools in the COVID-19 pandemic 

      Trilles, Sergio; Juan, Pablo; Chaudhuri, Somnath; Vicente, Ana Belen Elsevier (2021-10-17)
      In order to reduce the advance of the pandemic produced by COVID-19, many actions and restrictions have been applied and the field of education has been no exception. In Spain, during the academic year 2020–2021, face-to-face ...

    • openAccess   Data on records of environmental phenomena using low-cost sensors in vineyard smallholdings 

      Trilles, Sergio; González-Pérez, Alberto; Benito, Pedro J; Huerta, Joaquin Elsevier (2020-12)
      Inadequate weather conditions are one of the main threats to the correct development of sensitive crops, where a bad situation can lead to greater stress on plants and their weakness against various diseases. This statement ...

    • openAccess   Dataset of inertial measurements of smartphones and smartwatches for human activity recognition 

      Matey-Sanz, Miguel; Casteleyn, Sven; Granell, Carlos Elsevier (2023-11-17)
      This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, respectively. ...

    • openAccess   DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem 

      Guzmán-Ponce, Angélica; Sánchez Garreta, Josep Salvador; Valdovinos Rosas, Rosa María; Marcial-Romero, J. Raymundo Elsevier (2020-11-12)
      The class imbalance problem occurs when one class far outnumbers the other classes, causing most traditional classifiers perform poorly on the minority classes. To tackle this problem, a plethora of techniques have been ...

    • openAccess   Deep Hashing Based on Class-Discriminated Neighborhood Embedding 

      kang, jian; Fernandez-Beltran, Ruben; Zhen, Ye; Tong, Xiaohua Institute of Electrical and Electronics Engineers (2020-09-30)
      Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the ...

    • openAccess   Deep Learning-Based Building Footprint Extraction With Missing Annotations 

      kang, jian; Fernandez-Beltran, Ruben; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-04-21)
      Most state-of-the-art deep learning-based methods for extraction of building footprints are aimed at designing proper convolutional neural network (CNN) architectures or loss functions able to effectively predict building ...

    • openAccess   Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization 

      kang, jian; Fernandez-Beltran, Ruben; Zhen, Ye; Tong, Xiaohua; Ghamisi, Pedram; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-05-12)
      With the development of convolutional neural networks (CNNs), the semantic understanding of remote sensing (RS) scenes has been significantly improved based on their prominent feature encoding capabilities. While many ...

    • openAccess   Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification 

      Paoletti, Mercedes Eugenia; Haut, Juan M.; Fernandez-Beltran, Ruben; Plaza, Javier; Plaza, Antonio; Pla, Filiberto IEEE (2018-08)
      Convolutional neural networks (CNNs) exhibit good performance in image processing tasks, pointing themselves as the current state-of-the-art of deep learning methods. However, the intrinsic complexity of remotely sensed ...

    • openAccess   Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19 

      Mar Cupido, Ricardo; García, Vicente; Rivera-Zárate, Gilberto; Sánchez Garreta, Josep Salvador Elsevier (2022-08)
      The use of face masks in public places has emerged as one of the most effective non-pharmaceutical measures to lower the spread of COVID-19 infection. This has led to the development of several detection systems for ...

    • openAccess   Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast 

      kang, jian; Fernandez-Beltran, Ruben; Duan, Puhong; Liu, Sicong; Plaza, Antonio IEEE (2020-07-14)
      Convolutional neural networks (CNNs) have achieved great success when characterizing remote sensing (RS) images. However, the lack of sufficient annotated data (together with the high complexity of the RS image domain) ...

    • openAccess   Deployment of an open sensorized platform in a smart city context 

      Trilles, Sergio; Calia, Andrea; Belmonte-Fernández, Óscar; Torres-Sospedra, Joaquín; Montoliu Colás, Raul; Huerta, Joaquin Elsevier (2017-11)
      The race to achieve smart cities is producing a continuous effort to adapt new developments and knowledge, for administrations and citizens. Information and Communications Technology are called on to be one of the key ...

    • openAccess   Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions 

      Martínez Sotoca, José; Latorre Carmona, Pedro; Pla, Filiberto; Javidi, Bahram IEEE (2018-12)
      A common assumption in the integral imaging reconstruction is that a pixel will be photo-consistent if all viewpoints observed by the different cameras converge at a single point when focusing at the proper depth. However, ...

    • closedAccess   Depth estimation improvement in 3D integral imaging using an edge removal approach 

      Martínez Sotoca, José; Latorre Carmona, Pedro; Espinós-Morató, H.; Pla, Filiberto; Javidi, Bahram Springer (2018)
      A new depth estimation method for 3D reconstruction in a synthetic aperture integral imaging framework is presented. This method removes the edges of the objects in the elemental images when the objects are in focus. This ...

    • openAccess   Depth of thermal penetration in straight grinding 

      González-Santander, J.L.; Espinós-Morató, H. Springer-Verlag (2018-03)
      Unlike the usual numerical FEM approach to determine the thermally affected layer during the grinding process, we propose a simple analytical approach to estimate the depth of thermal penetration. For this purpose, the ...

    • openAccess   Desarrollo de productos avanzados para la misión SEOSAT/Ingenio 

      Sabater, N.; Ruiz-Verdú, A.; Delegido, J.; Fernandez-Beltran, Ruben; Latorre Carmona, Pedro; Pla, Filiberto; González-Audícana, M.; Álvarez-Mozos, J.; Sola, I.; Villa, G.; Tejeiro, J. A.; De Miguel, E.; Jimenez, M.; Molina, S.; Moreno, J. Asociación Española de Teledetección (2016)
      SEOSAT/Ingenio es la futura misión española de observación de la Tierra en el óptico en alta resolución espacial. Mientras que los productos de imagen a Nivel 1, radiancias geo-referenciadas a nivel de sensor, se encuentran ...

    • openAccess   Descriptions of Spatial Operations -- Recent Approaches and Community Feedback 

      Hofer, Barbara; Brauner, Johannes; Wiemann, Stefan; Jackson, Mike J.; Granell, Carlos; Rodrigues, Amanda; Nuest, Daniel European Commission Joint Research Centre (2015)
      Progress in the technical provision of spatial operations as loosely-coupled interoperable web services requires a corresponding development of standardisation in their description. Operation discovery, usage and interpretation ...

    • openAccess   Designing Semantic Application Programming Interfaces for Open Government Data 

      Degbelo, Auriol; Trilles, Sergio; Kray, Christian; Bhattachaya, Devanjan; Schiestel, Nicholas; Wissing, Jonas; Granell, Carlos Danube-University Krems (2016)
      Many countries currently maintain a national data catalog, which provides access to the available datasets – sometimes via an Application Programming Interface (API). These APIs play a crucial role in realizing the ...