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IMAGERY VALUE [4 records]

Filter results by subject field Alphabetical list of terms

Filter results by subject field

Alphabetical list of terms

Record 1 2007-02-01

English

Subject field(s)
  • Remote Sensing
DEF

A radar signal that is unprocessed.

CONT

Obtaining the maximum information and value from Synthetic Aperture Radar(SAR) imagery requires that the raw radar signal be processed to the highest possible standard of image quality. This requires flexibility in processing in order to optimize image characteristics for the features of interest.

OBS

raw radar signal: term officially approved by the RADARSAT-2 Terminology Approval Group (RTAG).

Key term(s)
  • radar’s raw signal

French

Domaine(s)
  • Télédétection
CONT

Simplement, le radar à synthèse d'ouverture (SAR) se base sur le principe que la contribution de tout objet réfléchissant est présente sur plusieurs échos radar enregistrés à des moments différents. Ainsi, au terme de l'acquisition des données par un capteur SAR, il n'existe pas d'image proprement dite, étant entendu que l'image est constituée de pixels représentant les objets. Plutôt, le signal radar brut contient l'objet, mais il faut le reconstituer à partir du signal. Cette reconstruction de l'objet à partir d'échos correspond au processus de synthèse de l'image. Au terme de ce processus, nous avons une image telle qu'on la connaît dans la vie de tous les jours : une juxtaposition bidimensionnelle de pixels.

OBS

signal radar brut : terme uniformisé par le Groupe de travail de la terminologie de RADARSAT-2 (GTTR).

Spanish

Campo(s) temático(s)
  • Teledetección
Save record 1

Record 2 2001-08-22

English

Subject field(s)
  • Statistical Methods
  • Remote Sensing
  • Range Measurements (Telecommunications)
  • Environmental Studies and Analyses
CONT

Application of the Getis statistic to hemispheric and regional scale passive microwave derived snow water equivalent imagery. ... In this study, five day averaged Special Sensor Microwave/Imager (SSM/I) derived SWE [snow water equivalent] imagery are analyzed with the Getis statistic (Gi), a local indicator of spatial autocorrelation.

CONT

In contrast to semivariance, the Getis statistic(Gi), generates values which relate variations within patterns of spatial dependence. Thus, it has the potential to uncover discrete spatial regimes which might be overlooked by existing techniques.... Wulder and Boots have adapted the Getis statistic for processing remotely sensed imagery. The Getis statistic yields a standardized value which indicates both the degree of autocorrelation in the values of the digital numbers centered on a given pixel and the magnitude of these values in relation to those of the entire image. The Gi values measure the extent to which a pixel is surrounded by a cluster of high or low values of a particular variable(e. g. DN). Large positive Gi values denote a cluster of high DN values; large negative Gi values indicate the spatial dependence within a tree crown or between shadow elements. High positive values generated from infrared wavelength image data indicate the presence of a tree object whereas high negative values relate a non-tree feature.

OBS

Getis: This name refers to Mr. Arthur Getis, of San Diego State University, who developed the local autocorrelation statistic named after him. [Information obtained from Mr. Frank Eichel, RPF, ADV. Dipl. GIS, Msc Forestry (Remote Sensing) candidate, University of British Columbia.]

Key term(s)
  • Ghettis statistic
  • Getis value
  • Getis measure

French

Domaine(s)
  • Méthodes statistiques
  • Télédétection
  • Mesures à distance (Télécommunications)
  • Études et analyses environnementales
OBS

statistique de Getis : terme proposé par Mme Michèle Bernier-Cardou, statisticienne, Ressources naturelles Canada, Centre de foresterie des Laurentides.

OBS

«Local Spatial Autocorrelation Characteristics of Landsat TM Imagery of a Managed Forest Area», par M. Wulder et B. Boots. [...] la mesure des indicateurs locaux d'association spatiale (LISA, «local indicators of spatial indicators» [sic : plutôt «local indicators of spatial association»]) permet d'évaluer pour chaque pixel de l'image à la fois le degré de dépendance spatiale du pixel par rapport aux pixels voisins et l'amplitude des valeurs de variation dans le voisinage du pixel. Dans cette étude, on applique une mesure LISA, la mesure Getis (Gi), à des images Landsat TM d'une région forestière aménagée. [...] Cette recherche exploratoire confirme que l'information sur la dépendance spatiale telle que dérivée de la mesure de (Gi) constitue une nouvelle source importante d'information spatiale pour l'évaluation des images numériques en milieu forestier.

Key term(s)
  • mesure de Getis

Spanish

Save record 2

Record 3 1987-05-04

English

Subject field(s)
  • Computer Graphics

French

Domaine(s)
  • Infographie

Spanish

Save record 3

Record 4 1987-02-25

English

Subject field(s)
  • Computer Graphics
  • Micrographics

French

Domaine(s)
  • Infographie
  • Micrographie

Spanish

Save record 4

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