Improving within-genus tree species discrimination using the discrete wavelet transform applied to airborne hyperspectral data-Reference-Cited by-同舟云学术

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Improving within-genus tree species discrimination using the discrete wavelet transform applied to airborne hyperspectral data

Published:2011-06-28 Issue:13 Volume:32 Page:3551-3563
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Banskota Asim¹²,Wynne Randolph H.¹,Kayastha Nilam¹²

Affiliation:

1. a Department of Forest Resources and Environmental Conservation , Virginia Polytechnic Institute and State University , Blacksburg, VA, 24061, USA

2. b Geospatial and Environmental Analysis Program, Virginia Polytechnic Institute and State University , Blacksburg, VA, 24061, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161003698302

Reference36 articles.

1. Wavelet decomposition of hyperspectral data: a novel approach to quantifying pigment concentrations in vegetation

2. Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis

3. Characterizing Canopy Gap Structure in Forests Using Wavelet Analysis

4. Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction

5. Automated detection of subpixel hyperspectral targets with continuous and discrete wavelet transforms

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