scispace - formally typeset
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
More filters
DissertationDOI

Utilising airborne scanning laser (LiDAR) to improve the assessment of Australian native forest structure

Alex C Lee
TL;DR: In this paper, small footprint Light Detection and Ranging (LiDAR) sensor data can be used to create apparent vertical profiles to describe aspects of vertical stand structure (e.g., overstorey/understorey) and also infer broad successional or growth stages.
Journal ArticleDOI

Classification of typical tree species in a karst area of Guizhou Province based on principal component analysis and support vector machine

TL;DR: In this paper, the authors collected hyperspectral data on 3287 leaves from seven typi cation trees from seven different types of forest trees and identified the species of the leaves.
Journal ArticleDOI

Segmentation hyperspectrale de forets tropicales par arbres de partition binaires

TL;DR: In this paper, a nouvelle methode de segmentation for les images hyperspectrales, basee sur la construction d'un arbre de partition binaire (APB), is proposed.
Book ChapterDOI

Plant Invasion and Imaging Spectroscopy

TL;DR: Despite the fact that a large amount of research has been carried out and published over the past decade, factors determining the invasion success of introduced species, regardless of their native origins, are still not yet fully identified as mentioned in this paper.
References
More filters
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.
Book

Pattern classification and scene analysis

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.
Related Papers (5)