Texture feature extraction by wavelet projection pursuit for cloud detection in AVIRIS and AVHRR imagery

Charles M. Bachmann; Eugene Edmund Clothiaux

Texture feature extraction by wavelet projection pursuit for cloud detection in AVIRIS and AVHRR imagery

Charles M. Bachmann
, Eugene Edmund Clothiaux

Meteorology and Atmospheric Science

Research output: Contribution to conference › Paper › peer-review

Abstract

A constrained projection pursuit model is used to extract textural features from two multi-spectral, remote sensing databases of AVIRIS and AVHRR imagery. The goal is to evaluate methods which may eventually be useful for cloud detection in Multi-Angle Imaging Spectrometer (MISR) [6] imagery. The method is an unsupervised adaptive wavelet technique that topologically constrains the projection vector and complements other techniques for extracting texture information.

Original language	English (US)
Pages	351-360
Number of pages	10
State	Published - Jan 1 1996
Event	Proceedings of the 1996 IEEE Signal Processing Society Workshop - Kyota, Jpn Duration: Sep 4 1996 → Sep 6 1996

Other

Other	Proceedings of the 1996 IEEE Signal Processing Society Workshop
City	Kyota, Jpn
Period	9/4/96 → 9/6/96

All Science Journal Classification (ASJC) codes

Signal Processing
Software
Electrical and Electronic Engineering

Cite this

@conference{1c8942d3a3bb4eb38eaf8fa68f6f2588,

title = "Texture feature extraction by wavelet projection pursuit for cloud detection in AVIRIS and AVHRR imagery",

abstract = "A constrained projection pursuit model is used to extract textural features from two multi-spectral, remote sensing databases of AVIRIS and AVHRR imagery. The goal is to evaluate methods which may eventually be useful for cloud detection in Multi-Angle Imaging Spectrometer (MISR) [6] imagery. The method is an unsupervised adaptive wavelet technique that topologically constrains the projection vector and complements other techniques for extracting texture information.",

author = "Bachmann, \{Charles M.\} and Clothiaux, \{Eugene Edmund\}",

year = "1996",

month = jan,

day = "1",

language = "English (US)",

pages = "351--360",

note = "Proceedings of the 1996 IEEE Signal Processing Society Workshop ; Conference date: 04-09-1996 Through 06-09-1996",

}

TY - CONF

T1 - Texture feature extraction by wavelet projection pursuit for cloud detection in AVIRIS and AVHRR imagery

AU - Bachmann, Charles M.

AU - Clothiaux, Eugene Edmund

PY - 1996/1/1

Y1 - 1996/1/1

N2 - A constrained projection pursuit model is used to extract textural features from two multi-spectral, remote sensing databases of AVIRIS and AVHRR imagery. The goal is to evaluate methods which may eventually be useful for cloud detection in Multi-Angle Imaging Spectrometer (MISR) [6] imagery. The method is an unsupervised adaptive wavelet technique that topologically constrains the projection vector and complements other techniques for extracting texture information.

AB - A constrained projection pursuit model is used to extract textural features from two multi-spectral, remote sensing databases of AVIRIS and AVHRR imagery. The goal is to evaluate methods which may eventually be useful for cloud detection in Multi-Angle Imaging Spectrometer (MISR) [6] imagery. The method is an unsupervised adaptive wavelet technique that topologically constrains the projection vector and complements other techniques for extracting texture information.

UR - https://www.scopus.com/pages/publications/0029702193

UR - https://www.scopus.com/pages/publications/0029702193#tab=citedBy

M3 - Paper

AN - SCOPUS:0029702193

SP - 351

EP - 360

T2 - Proceedings of the 1996 IEEE Signal Processing Society Workshop

Y2 - 4 September 1996 through 6 September 1996

ER -

Texture feature extraction by wavelet projection pursuit for cloud detection in AVIRIS and AVHRR imagery

Abstract

Other

All Science Journal Classification (ASJC) codes

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