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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.

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Citations
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Journal ArticleDOI

Regional mapping of spekboom canopy cover using very high resolution aerial imagery

TL;DR: In this article, a per-pixel classification approach for canopy cover mapping of spekboom using multispectral 0.5m resolution aerial imagery is presented, where feature selection procedure that is robust to redundancy is applied in order to select an informative feature subset from a typical set of spectral, textural, and vegetation index features.
Journal ArticleDOI

Spectral Similarity Assessment Based on a Spectrum Reflectance-Absorption Index and Simplified Curve Patterns for Hyperspectral Remote Sensing

TL;DR: A novel hyperspectral image similarity assessment index based on spectral curve patterns and a reflection-absorption index that can achieve higher precision and fewer points than the traditional spectral information divergence and spectral angle match.
Journal ArticleDOI

How up-scaling of remote-sensing images affects land-cover classification by comparison with multiscale satellite images

TL;DR: The results indicate that the effects of resolution cannot be ignored and that resampling data may not be adequate for multi-spatial-scale classification compared with the native satellite images, and it is thus urgent to obtain an effective up-scaling algorithm that sharply reduces the problems caused by spatial heterogeneity.
Journal ArticleDOI

Mapping Succession in Non-Forest Habitats by Means of Remote Sensing: Is the Data Acquisition Time Critical for Species Discrimination?

TL;DR: The results show that the time of remote sensing data acquisition influences the possibility of differentiating succession species, and the final recommendation for the data acquisition time should take into consideration the phenological cycle of deciduous species present within the research area and the abiotic conditions.
Journal ArticleDOI

Sequential PCA-based Classification of Mediterranean Forest Plants using Airborne Hyperspectral Remote Sensing

TL;DR: An improved principal component analysis-based classification (PCABC) scheme is presented and intended to provide accurate and sequential image-based unsupervised classification of Mediterranean forest species.
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.
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.
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