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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

3D hyperspectral point cloud generation: Fusing airborne laser scanning and hyperspectral imaging sensors for improved object-based information extraction

TL;DR: It is shown that the complementary implementation of spectral and 3D information at the point-cloud scale improves object-based classification and information extraction schemes and has great potential for numerous land-cover mapping and environmental applications.
Journal ArticleDOI

Hyperspectral Image Classification Using Spectral–Spatial Composite Kernels Discriminant Analysis

TL;DR: Experimental results show that the spatial information extracted by GWLM can greatly improve the performance, and demonstrate the superiority of CKDA for HSI classification in the case of few labeled samples.
Journal ArticleDOI

Size of sampling unit strongly influences detection of seedling limitation in a wet tropical forest.

TL;DR: For more common species, much lower estimates of seedlings limitation at mature crown scales suggest weaker influence of seedling limitation on community dynamics than previously assumed.
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Identifying European Old-Growth Forests using Remote Sensing: A Study in the Ukrainian Carpathians

TL;DR: It is concluded that Random Forest classification combined with Sentinel-2 images can provide an effective option for identifying old-growth forests in Europe.
Journal ArticleDOI

Delineating Individual Tree Crowns in an Uneven-Aged, Mixed Broadleaf Forest Using Multispectral Watershed Segmentation and Multiscale Fitting

TL;DR: Multispectral watershed segmentation and multiscale fitting method for ITC delineation at multiple spatial scales produces ITC maps of higher quality than the commonly used multiresolution segmentation method.
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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