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The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas

Author
DALPONTE, Michele1 2 ; BRUZZONE, Lorenzo1 ; VESCOVO, Loris2 ; GIANELLE, Damiano2
[1] Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 38123, Povo, Trento, Italy
[2] Centro di Ecologia Alpina, Fondazione E. Mach, Viote del Monte Bondone, 38040 Trento, Italy
Source

Remote sensing of environment. 2009, Vol 113, Num 11, pp 2345-2355, 11 p ; ref : 3/4 p

CODEN
RSEEA7
ISSN
0034-4257
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Environment; Geology; Geophysics; Oceanography
Publisher
Elsevier, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Channel selection Classification techniques Feature selection Forestry Hyperspectral images Remote sensing Spectral resolution
Keyword (fr)
Algorithme Analyse discriminante Capteur imagerie hyperspectral Capteur mesure Caractérisation Caractéristique hyperspectrale Classificateur Classification Complexité Comportement Etude expérimentale Extraction Foresterie Forêt Imagerie hyperspectrale Information Instrumentation Limite résolution Méthode empirique Précision Réduction Télédétection Végétation Zone forestière Télédétection hyperspectrale
Keyword (en)
algorithms discriminant analysis Hyperspectral imaging sensor measurement sensor characterization Hyperspectral characteristic Classifier classification Complexity behavior experimental studies extraction forestry forests Hyperspectral imagery Information instruments Resolving power Empirical method accuracy reduction remote sensing vegetation Forest zone
Keyword (es)
Algoritmo Análisis discriminante Sensor hiperespectral de formación de imágenes Característica hiperespectral Clasificador Clasificación Complejidad Bosque Imaginería hiperespectral Información Instrumentación Poder resolución Método empírico Precisión Detección a distancia Vegetación Zona forestal
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A03 Teledetection and vegetation maps

Discipline
Animal, vegetal and microbial ecology Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
22010031

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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