Landsat PNN classifier using PCA of wavelet texture-edge feature

Harold H. Szu, Jacqueline Le Moigne, N. S. Netanyahu, Charles C. Hsu

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


This work focuses on neural network classifiers on sub-regions of the image. Texture information obtained with a wavelet transform is integrated in such a classifier for purposes of improving its performance. Using a wavelet transform, statistical texture information in Landsat/TM imagery is accounted. Statistical texture is extracted with a continuous edge-texture composite wavelet transform. Finally, the network is trained with both the texture information and the additional pixel labels provided by the ground truth data.

Original languageEnglish
Pages (from-to)141-153
Number of pages13
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1999
Externally publishedYes


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