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

Charles M. Bachmann, Eugene Edmund Clothiaux

Research output: Contribution to conferencePaper

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 languageEnglish (US)
Pages351-360
Number of pages10
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE Signal Processing Society Workshop - Kyota, Jpn
Duration: Sep 4 1996Sep 6 1996

Other

OtherProceedings of the 1996 IEEE Signal Processing Society Workshop
CityKyota, Jpn
Period9/4/969/6/96

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

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  • Cite this

    Bachmann, C. M., & Clothiaux, E. E. (1996). Texture feature extraction by wavelet projection pursuit for cloud detection in AVIRIS and AVHRR imagery. 351-360. Paper presented at Proceedings of the 1996 IEEE Signal Processing Society Workshop, Kyota, Jpn, .