Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping
By Ruiliang Pu, Peng Gong. 2004
170 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Media Technology
View Paper: https://www.semanticscholar.org/paper/7dcab629f023104c5eec00ccd24c4a9378c54293
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In Ecology
In Environmental Engineering
In Media Technology
Citations in the corpus
- Wavelet decomposition of hyperspectral data: a novel approach to quantifying pigment concentrations in vegetation (2007, methodology): “the wavelet basis function) φ(λ) which is scaled and shifted:where the basis function is given by:Here, j is the j th decomposition level or step and k is the k th wavelet coefficient at the j th level (Pu and Gong 2004 ).”
- Hyperspectral discrimination of tropical dry forest lianas and trees: Comparative data reduction approaches at the leaf and canopy levels (2007, unknown): “Subsequently, scalar energy feature vectors of the wavelet coefficients were calculated (Bruce et al., 1999; Li et al., 2001; Pu & Gong, 2004): where K is the number of coefficients at level j , W jk is the k th coefficient at level j .”
- Optimizing predictive models for leaf chlorophyll concentration based on continuous wavelet analysis of hyperspectral data (2011, methodology): “In terms of quantitative sensing, wavelet decomposition has been found to be an effective method for mapping forest leaf area index and crown closure with Earth Observing-1 (EO-1) Hyperion data (Pu and Gong 2004).”
- Using wavelet analysis of hyperspectral remote-sensing data to estimate canopy chlorophyll content of winter wheat under stripe rust stress (2018, background): “…phenology (Sakamoto et al. 2005), image processing (Amolins, Zhang, and Dare 2007), biochemical and biophysical parameters estimation of vegetation (Pu and Gong 2004; Cheng et al. 2014a; Cheng, Riaño, and Ustin 2014b), and the disease severity estimation of vegetation (Zhang et al. 2014; Luo et…”