Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/45012
Título: Performance evaluation of the H.264/AVC video coding standard for lossy hyperspectral image compression
Autores/as: Santos, Lucana 
López, Sebastián 
Callicó, Gustavo M. 
López Feliciano, José Francisco 
Sarmiento, Roberto 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Image coding
Hyperspectral imaging
Video coding
Signal to noise ratio
Correlation, et al.
Fecha de publicación: 2012
Editor/a: 1939-1404
Publicación seriada: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 
Resumen: In this paper, a performance evaluation of the state-of-the-art H.264/AVC video coding standard is carried out with the aim of determining its feasibility when applied to hyperspectral image compression. Results are obtained based on configuring diverse parameters in the encoder in order to achieve an optimal trade-off between compression ratio, accuracy of unmixing and computation time. In this sense, simulations are developed in order to measure the spectral angles and signal-to-noise ratio (SNR), achieving compression ratios up to 0.13 bits per pixel per band (bpppb) for real hyperspectral images. Moreover, in this work it is detected which blocks in the encoder contribute the most to performance improvements of the compression task for the particular case of this type of images, and which ones are not relevant at all and hence could be removed. This conclusion yields to reduce the future design complexities of potential low-power/real-time hyperspectral encoders based on H.264/AVC for remote sensing applications.
URI: http://hdl.handle.net/10553/45012
ISSN: 1939-1404
DOI: 10.1109/JSTARS.2011.2173906
Fuente: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing[ISSN 1939-1404],v. 5 (6080751), p. 451-461
Colección:Artículos
Vista completa

Citas SCOPUSTM   

53
actualizado el 15-dic-2024

Citas de WEB OF SCIENCETM
Citations

46
actualizado el 15-dic-2024

Visitas

63
actualizado el 14-oct-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.