Zobrazeno 1 - 10
of 157
pro vyhledávání: '"A. Perez-Suay"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-1-W1-2021, Pp 65-68 (2022)
In a first approximation to the use of hyperspectral DESIS data to ocean colour applications in inland waters, we present here a comparison of the DESIS vs. MSI spectra from two reservoirs located in the province of Valencia. Benagerber and Tous are
Externí odkaz:
https://doaj.org/article/faa3cc2033a74886a0d52a89a373b50a
This chapter provides an overview of the different Artificial Intelligence (AI) systems that are being used in contemporary digital tools for Mathematics Education (ME). It is aimed at researchers in AI and Machine Learning (ML), for whom we shed som
Externí odkaz:
http://arxiv.org/abs/2107.06015
Autor:
Van Wittenberghe, Shari, Amin, Eatidal, Pascual-Venteo, Ana Belén, Pérez-Suay, Adrián, Tenjo, Carolina, Sabater, Neus, van der Tol, Christiaan, Drusch, Matthias, Moreno, José
Publikováno v:
In Remote Sensing of Environment 1 January 2024 300
Autor:
Mateo-Sanchis, Anna, Piles, Maria, Muñoz-Marí, Jordi, Adsuara, Jose E., Pérez-Suay, Adrián, Camps-Valls, Gustau
Publikováno v:
Remote Sensing of Environment Volume 234, 1 December 2019, 111460
Developing accurate models of crop stress, phenology and productivity is of paramount importance, given the increasing need of food. Earth observation remote sensing data provides a unique source of information to monitor crops in a temporally resolv
Externí odkaz:
http://arxiv.org/abs/2012.05905
This paper introduces a novel statistical regression framework that allows the incorporation of consistency constraints. A linear and nonlinear (kernel-based) formulation are introduced, and both imply closed-form analytical solutions. The models exp
Externí odkaz:
http://arxiv.org/abs/2012.04922
This paper introduces warped Gaussian processes (WGP) regression in remote sensing applications. WGP models output observations as a parametric nonlinear transformation of a GP. The parameters of such prior model are then learned via standard maximum
Externí odkaz:
http://arxiv.org/abs/2012.12105
We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite. The model provides pixel-level cloud maps with related confidence and
Externí odkaz:
http://arxiv.org/abs/2012.10393
This work tackles the target detection problem through the well-known global RX method. The RX method models the clutter as a multivariate Gaussian distribution, and has been extended to nonlinear distributions using kernel methods. While the kernel
Externí odkaz:
http://arxiv.org/abs/2012.12308
In this work we propose a method to find anomalous changes in remote sensing images based on the chronochrome approach. A regressor between images is used to discover the most {\em influential points} in the observed data. Typically, the pixels with
Externí odkaz:
http://arxiv.org/abs/2012.12307
Autor:
Pérez-Suay, Adrián, Amorós-López, Julia, Gómez-Chova, Luis, Muñoz-Marí, Jordi, Just, Dieter, Camps-Valls, Gustau
Landmark recognition and matching is a critical step in many Image Navigation and Registration (INR) models for geostationary satellite services, as well as to maintain the geometric quality assessment (GQA) in the instrument data processing chain of
Externí odkaz:
http://arxiv.org/abs/2012.12306