Journal ArticleDOI
Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
TLDR
In this paper, the authors investigated the utility of high spectral and spatial resolution imagery for the automated species-level classification of individual tree crowns (ITCs) in a tropical rain forest (TRF).About:
This article is published in Remote Sensing of Environment.The article was published on 2005-06-30. It has received 714 citations till now. The article focuses on the topics: Multispectral pattern recognition & Hyperspectral imaging.read more
Citations
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Journal ArticleDOI
Potential of hyperspectral AVIRIS-NG data for vegetation characterization, species spectral separability, and mapping
TL;DR: In this article, a wide range of optimal spectral bands (491 nm, 541 nm, 641 nm 722 nm, 772 nm, 852 nm, 942 nm, 1047 nm, 1132 nm, 1443 nm, and 2475 nm) were selected and simulated for classification using artificial neural network (ANN) and support vector machine (SVM) techniques.
Journal ArticleDOI
Comparison of Hyperspectral Techniques for Urban Tree Diversity Classification
Charlotte Brabant,Emilien Alvarez-Vanhard,Achour Laribi,Gwénaël Morin,Kim Thanh Nguyen,Alban Thomas,Thomas Houet +6 more
TL;DR: Results show that HYPXIM 4 m and HySpex 2 m reduced by Minimum Noise Fraction provide the greatest classification of 14 species using the SVM with an overall accuracy of 78.4% (±1.5) and a kappa index of agreement of 0.7.
Journal ArticleDOI
Comparison of the Different Classifiers in Vegetation Species Discrimination Using Hyperspectral Reflectance Data
TL;DR: Wang et al. as discussed by the authors proposed a new feature selection strategy for Hyperspectral dataset, which was designed to help refine vegetation classification of 4 categories with 13 species vegetation which are the most common species in central China.
References
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Book
Using multivariate statistics
TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
Journal ArticleDOI
Pattern Classification and Scene Analysis.
Book
Pattern classification and scene analysis
Richard O. Duda,Peter E. Hart +1 more
TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Journal ArticleDOI
A new method for non-parametric multivariate analysis of variance
TL;DR: In this article, a non-parametric method for multivariate analysis of variance, based on sums of squared distances, is proposed. But it is not suitable for most ecological multivariate data sets.
Journal ArticleDOI
Extinction risk from climate change
Chris D. Thomas,Alison Cameron,Rhys E. Green,Rhys E. Green,Michel Bakkenes,Linda J. Beaumont,Yvonne C. Collingham,Barend F.N. Erasmus,Marinez Ferreira de Siqueira,Alan Grainger,Lee Hannah,Lesley Hughes,Brian Huntley,Albert S. van Jaarsveld,Guy F. Midgley,Lera Miles,Lera Miles,Miguel A. Ortega-Huerta,A. Townsend Peterson,Oliver L. Phillips,Stephen E. Williams +20 more
TL;DR: Estimates of extinction risks for sample regions that cover some 20% of the Earth's terrestrial surface show the importance of rapid implementation of technologies to decrease greenhouse gas emissions and strategies for carbon sequestration.