Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Joan Bartrina-Rapesta"'
Autor:
Miguel Hernandez-Cabronero, David Evans, Joan Bartrina-Rapesta, Francesc Auli-Llinas, Ian Blanes, Joan Serra-Sagrista
Publikováno v:
IEEE Access, Vol 12, Pp 36702-36711 (2024)
The Consultative Committee for Space Data Systems (CCSDS) recently published a lossless compression standard for housekeeping and telemetry. These data are critical for the safe and productive operation of virtually all remote sensing missions, inclu
Externí odkaz:
https://doaj.org/article/fb7bc4e62d0847ff8c7b7302423351f1
A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning
Autor:
Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4422 (2023)
Two key hurdles to the adoption of Machine Learning (ML) techniques in hyperspectral data compression are computational complexity and scalability for large numbers of bands. These are due to the limited computing capacity available in remote sensing
Externí odkaz:
https://doaj.org/article/c02e616a385d421491d0eb22c29ec1e1
Publikováno v:
IEEE Access, Vol 8, Pp 68474-68487 (2020)
Modern image and video compression standards employ computationally intensive algorithms that provide advanced features to the coding system. Current standards often need to be implemented in hardware or using expensive solutions to meet the real-tim
Externí odkaz:
https://doaj.org/article/5b5e165dc892416cb1c36fe1cb76c39b
Publikováno v:
IEEE Access, Vol 7, Pp 103918-103930 (2019)
Predictive image coding systems yield a high-compression performance at low computational complexity, and are therefore popular in standards and prominent coding techniques for both lossless and near-lossless compression. However, few prediction-base
Externí odkaz:
https://doaj.org/article/8fb2a03cfd994bae92148e972c1b77c8
Publikováno v:
Sensors, Vol 17, Iss 6, p 1404 (2017)
The Infrared Atmospheric Sounding Interferometer (IASI), implemented on the MetOp satellite series, represents a significant step forward in atmospheric forecast and weather understanding. The instrument provides infrared soundings of unprecedented a
Externí odkaz:
https://doaj.org/article/a75e736fa25c4da9af1eb1e55472adaa
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
Quality scalability is an important feature of image and video coding systems. In JPEG2000, quality scalability is achieved through the use of quality layers that are formed in the encoder through rate-distortion optimization techniques. Quality laye
Externí odkaz:
https://doaj.org/article/94c85747388d41d5ba0e7da9277d1776
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2009)
The rate-distortion optimality of a JPEG2000 codestream is determined by the density and distribution of the quality layers it contains. The allocation of quality layers is, therefore, a fundamental issue for JPEG2000 encoders, which commonly distrib
Externí odkaz:
https://doaj.org/article/6cd9f927124348cbb842272f7c2861dd
Autor:
Antonio Sanchez, Ian Blanes, Yubal Barrios, Miguel Hernandez-Cabronero, Joan Bartrina-Rapesta, Joan Serra-Sagrista, Roberto Sarmiento
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Altres ajuts: European Space Agency (ESA) (Grant Number: 4000136723/22/NL/CRS) On-board multi- and hyperspectral instruments acquire large volumes of data that need to be processed with the limited computational and storage resources. In this context
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Autor:
Sebastià Mijares i Verdú, Joan Serra-Sagristà, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Valero Laparra, Johannes Ballé
Session 5A-Mijares-Hyperspectral image compression using convolutional neural networks with local spectral transforms and non-uniform sample normalisation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae7f1c16e8be59aa5246533fe37eb759