Extrapolation of wavelet features for the indexing of satellite images with different resolutions

Bin Luo; Jean François Aujol; Yann Gousseau; Said Ladjal

doi:10.1109/IGARSS.2006.50

Extrapolation of wavelet features for the indexing of satellite images with different resolutions

Bin Luo
, Jean François Aujol
, Yann Gousseau
, Said Ladjal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we propose a new scheme to extrapolate wavelet features with respect to the resolution. By explicitly taking into account the acquisition process of satellite images, we compute how wavelet features behave when the resolution changes. This approach is validated by classifying satellite images with different resolutions.

Original language	English
Title of host publication	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages	176-179
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2006.50
Publication status	Published - 1 Dec 2006
Externally published	Yes
Event	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States Duration: 31 Jul 2006 → 4 Aug 2006

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Country/Territory	United States
City	Denver, CO
Period	31/07/06 → 4/08/06

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10.1109/IGARSS.2006.50

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@inproceedings{54d1d656f66243e883f2010ceb20833f,

title = "Extrapolation of wavelet features for the indexing of satellite images with different resolutions",

abstract = "In this paper, we propose a new scheme to extrapolate wavelet features with respect to the resolution. By explicitly taking into account the acquisition process of satellite images, we compute how wavelet features behave when the resolution changes. This approach is validated by classifying satellite images with different resolutions.",

author = "Bin Luo and Aujol, \{Jean Fran{\c c}ois\} and Yann Gousseau and Said Ladjal",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/IGARSS.2006.50",

language = "English",

isbn = "0780395107",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "176--179",

booktitle = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS",

note = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 31-07-2006 Through 04-08-2006",

}

Luo, B, Aujol, JF, Gousseau, Y & Ladjal, S 2006, Extrapolation of wavelet features for the indexing of satellite images with different resolutions. in 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS., 4241197, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 176-179, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO, United States, 31/07/06. https://doi.org/10.1109/IGARSS.2006.50

Extrapolation of wavelet features for the indexing of satellite images with different resolutions. / Luo, Bin; Aujol, Jean François; Gousseau, Yann et al.
2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. 2006. p. 176-179 4241197 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Extrapolation of wavelet features for the indexing of satellite images with different resolutions

AU - Luo, Bin

AU - Aujol, Jean François

AU - Gousseau, Yann

AU - Ladjal, Said

PY - 2006/12/1

Y1 - 2006/12/1

N2 - In this paper, we propose a new scheme to extrapolate wavelet features with respect to the resolution. By explicitly taking into account the acquisition process of satellite images, we compute how wavelet features behave when the resolution changes. This approach is validated by classifying satellite images with different resolutions.

AB - In this paper, we propose a new scheme to extrapolate wavelet features with respect to the resolution. By explicitly taking into account the acquisition process of satellite images, we compute how wavelet features behave when the resolution changes. This approach is validated by classifying satellite images with different resolutions.

U2 - 10.1109/IGARSS.2006.50

DO - 10.1109/IGARSS.2006.50

M3 - Conference contribution

AN - SCOPUS:34948830102

SN - 0780395107

SN - 9780780395107

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 176

EP - 179

BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

Y2 - 31 July 2006 through 4 August 2006

ER -

Extrapolation of wavelet features for the indexing of satellite images with different resolutions

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