Go to:
Logótipo
You are here: Start > Publications > View > Compression of NOAA/AVHRR data with a wavelet transform
Clube de Leitura: Vamos a Livros || Dias Longos Pedem Bons Livros
Publication

Compression of NOAA/AVHRR data with a wavelet transform

Title
Compression of NOAA/AVHRR data with a wavelet transform
Type
Article in International Scientific Journal
Year
2000
Authors
marçal, ars
(Author)
FCUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
triebfÿrst, b
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
schneider, c
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
vaughan, ra
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 21 No. 3
Pages: 595-610
ISSN: 0143-1161
Publisher: Taylor & Francis
Other information
Authenticus ID: P-007-BHQ
Abstract (EN): An attempt has been made to assess the efficiency of image data compression by wavelet transform encoding using National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) images. Raw and derived images were compressed to various levels and a number of parameters in the decompressed images compared with those obtained using raw data as a yardstick against which to measure the loss of information due to compression. Unsupervised classification, Normalized Difference Vegetation Index (NDVI) values and brightness temperatures appeared to suffer little degradation and only for fractal dimensions was there significant loss of integrity at compression rates of up to a factor of 32. The general conclusion from a visual inspection of the effect of such compressions on artificially generated geometrical imagettes confirms the effectiveness of this method of compression.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 16
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

Unmanned Aerial Systems (UAS) for environmental applications special issue preface PREFACE (2018)
Another Publication in an International Scientific Journal
Milas, AS; Sousa, JJ; Warner, TA; Ana Teodoro; Peres, E; Jose A Goncalves; Delgado Garcia, J; Bento, R; Phinn, S; Woodget, A
Very early prediction of wine yield based on satellite data from VEGETATION (2010)
Article in International Scientific Journal
Mario Cunha; Andre R S Marcal; Lisa Silva
Three-dimensional data collection for coastal management – efficiency and applicability of terrestrial and airborne methods (2018)
Article in International Scientific Journal
Magalhães, A.; Jose A Goncalves; Bastos, L; Bio, A; Madeira, S.
Three-dimensional data collection for coastal management - efficiency and applicability of terrestrial and airborne methods (2018)
Article in International Scientific Journal
Jose A Goncalves; Bastos, L; Madeira, S; Magalhães, A.; Bio, A
The use of texture for image classification of black & white air photographs (2008)
Article in International Scientific Journal
Caridade, CMR; Marcal, ARS; Mendonca, T

See all (23)

Recommend this page Top
Copyright 1996-2024 © Faculdade de Engenharia da Universidade do Porto  I Terms and Conditions  I Accessibility  I Index A-Z  I Guest Book
Page generated on: 2024-07-22 at 13:33:32 | Acceptable Use Policy | Data Protection Policy | Complaint Portal