4D remote sensing image coding with JPEG2000

Juan Muñoz-Gómez; Joan Bartrina-Rapesta; Ian Blanes; Leandro Jiménez-Rodríguez; Francesc Aulí-Llinàs; Joan Serra-Sagristà

doi:10.1117/12.860545

24 August 2010 4D remote sensing image coding with JPEG2000

Juan Muñoz-Gómez, Joan Bartrina-Rapesta, Ian Blanes, Leandro Jiménez-Rodríguez, Francesc Aulí-Llinàs, Joan Serra-Sagristà

Author Affiliations +

Proceedings Volume 7810, Satellite Data Compression, Communications, and Processing VI; 78100X (2010) https://doi.org/10.1117/12.860545
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

Multicomponent data have become popular in several scientific fields such as forest monitoring, environmental studies, or sea water temperature detection. Nowadays, this multicomponent data can be collected more than one time per year for the same region. This generates different instances in time of multicomponent data, also called 4D-Data (1D Temporal + 1D Spectral + 2D Spatial). For multicomponent data, it is important to take into account inter-band redundancy to produce a more compact representation of the image by packing the energy into fewer number of bands, thus enabling a higher compression performance. The principal decorrelators used to compact the inter-band correlation redundancy are the Karhunen Loeve Transform (KLT) and Discrete Wavelet Transform (DWT). Because of the Temporal Dimension added, the inter-band redundancy among different multicomponent images is increased. In this paper we analyze the influence of the Temporal Dimension (TD) and the Spectral Dimension (SD) in 4D-Data in terms of coding performance for JPEG2000, because it has support to apply different decorrelation stages and transforms to the components through the different dimensions. We evaluate the influence to perform different decorrelators techniques to the different dimensions. Also we will assess the performance of the two main decorrelation techniques, KLT and DWT. Experimental results are provided, showing rate-distortion performances encoding 4D-Data using KLT and WT techniques to the different dimensions TD and SD.

Citation Download Citation

Juan Muñoz-Gómez, Joan Bartrina-Rapesta, Ian Blanes, Leandro Jiménez-Rodríguez, Francesc Aulí-Llinàs, and Joan Serra-Sagristà "4D remote sensing image coding with JPEG2000", Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 78100X (24 August 2010); https://doi.org/10.1117/12.860545

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available