Journal ArticleDOI
Conifer species recognition: An exploratory analysis of in situ hyperspectral data
Peng Gong,Ruiliang Pu,Bin Yu +2 more
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TLDR
In this paper, an artificial neural network algorithm was assessed for the identification of six conifer tree species using hyperspectral data measured above sunlit and shaded sides of canopies using a high spectral resolution radiometer.About:
This article is published in Remote Sensing of Environment.The article was published on 1997-11-01. It has received 213 citations till now. The article focuses on the topics: Spectral bands & Hyperspectral imaging.read more
Citations
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Journal ArticleDOI
Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
TL;DR: In this paper, the authors evaluated the capability of the high spatial resolution airborne Digital Airborne Imaging System (DAIS) imagery for detailed vegetation classification at the alliance level with the aid of ancillary topographic data.
Journal ArticleDOI
Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
TL;DR: 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).
Journal ArticleDOI
Review of studies on tree species classification from remotely sensed data
Fabian Ewald Fassnacht,Hooman Latifi,Krzysztof Stereńczak,Aneta Modzelewska,Michael A. Lefsky,Lars T. Waser,Christoph Straub,Aniruddha Ghosh +7 more
TL;DR: It is recommended that future research efforts focus stronger on the causal understanding of why tree species classification approaches work under certain conditions or – maybe even more important - why they do not work in other cases as this might require more complex field acquisitions than those typically used in the reviewed studies.
Journal ArticleDOI
Spectral discrimination of vegetation types in a coastal wetland
K.S. Schmidt,Andrew K. Skidmore +1 more
TL;DR: In this paper, the authors investigated whether vegetation associations can be differentiated using hyperspectral reflectance in the visible to shortwave infrared spectral range, and how well species can be separated based on their spectra.
Journal ArticleDOI
Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis
TL;DR: An efficient version of the RLDA recently presented by Ye to cope with critical ill-posed hyperspectral image classification problems is introduced in the remote sensing community and several LDA-based classifiers are compared theoretically and experimentally with the standard LDA and theRLDA.
References
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Book ChapterDOI
Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
MonographDOI
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Book
Learning internal representations by error propagation
TL;DR: In this paper, the problem of the generalized delta rule is discussed and the Generalized Delta Rule is applied to the simulation results of simulation results in terms of the generalized delta rule.
Book
Adaptive pattern recognition and neural networks
TL;DR: This is a book that will show you even new to old thing, and when you are really dying of adaptive pattern recognition and neural networks, just pick this book; it will be right for you.
Journal ArticleDOI
Imaging Spectrometry for Earth Remote Sensing
TL;DR: The initial results show that remote, direct identification of surface materials on a picture-element basis can be accomplished by proper sampling of absorption features in the reflectance spectrum.