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- W2384349875 abstract "This paper presents a subpixel target detection approach based on multiscale wavelet high-pass coefficients in hyperspectral data.Firstly this algorithm uses multiscale wavelet transforms to obtain multiscale wavelet high-pass features of spectral signals.Secondly it gets the best-discrimination feature with receiver operating characteristics curves(ROC) and projection pursuit based on mahalanobis distance.Lastly it calculates the probability of subpixel target in every pixel with gauss maximum likelihood decision function.Experiment has been made with 38 kind wavelet functions in hyperspectral imagery,and proved that this algorithm is adapted for detecting subpixel targets and has an excellent precision result." @default.
- W2384349875 created "2016-06-24" @default.
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- W2384349875 date "2005-01-01" @default.
- W2384349875 modified "2023-09-25" @default.
- W2384349875 title "Subpixel Target Detection Approach Based on Multiscale Wavelet Features in Hyperspectral Imagery" @default.
- W2384349875 hasPublicationYear "2005" @default.
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