An oblique subspace projection approach for mixed pixel classification in hyperspectral images

Te-Ming Tu, Hsuen-Chyun Shyu, Ching-Hai Lee, Chein-I Chang

Open source

DOI: 10.1016/s0031-3203(98)00165-4
Published: 1999-08
Container: Pattern Recognition
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/s0031-3203-98-00165-4,
  title = {An oblique subspace projection approach for mixed pixel classification in hyperspectral images},
  author = {Te-Ming Tu and Hsuen-Chyun Shyu and Ching-Hai Lee and Chein-I Chang},
  year = {1999},
  journal = {Pattern Recognition},
  doi = {10.1016/s0031-3203(98)00165-4},
  url = {https://doi.org/10.1016/s0031-3203(98)00165-4}
}

RIS

TY  - JOUR
TI  - An oblique subspace projection approach for mixed pixel classification in hyperspectral images
AU  - Te-Ming Tu
AU  - Hsuen-Chyun Shyu
AU  - Ching-Hai Lee
AU  - Chein-I Chang
PY  - 1999
JO  - Pattern Recognition
DO  - 10.1016/s0031-3203(98)00165-4
UR  - https://doi.org/10.1016/s0031-3203(98)00165-4
ER  -

APA

Tu, T., Shyu, H., Lee, C., & Chang, C. (1999). An oblique subspace projection approach for mixed pixel classification in hyperspectral images. Pattern Recognition. https://doi.org/10.1016/s0031-3203(98)00165-4

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crossref · retrieved 2026-09-26T16:47:00.610Z