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FONCTION DENSITE PROBABILITE N DIMENSIONS [1 record]

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Record 1 2007-01-31

English

Subject field(s)
  • Remote Sensing
DEF

A projection technique that reduces data dimensionality, and an advanced neural network that utilizes fuzzy-set mathematics.

CONT

The intent for multispectral and hyperspectral image data analysis is to rapidly and inexpensively associate a ground cover label to each pixel in the image. Given the multivariate nature of such data, the process of data analysis is one of dividing up the N-dimensional feature space into M exhaustive but non-overlapping regions where M is the number of classes of materials existing in the scene. The process involves defining the M classes of interest in a quantitative fashion, such that each pixel in the scene, which exists as a discrete location in the N-dimensional space, can be uniquely associated with one of the M classes. Frequently, this is done by using a small number of samples in the scene, called design samples or training samples, to define an N-dimensional probability density function for each of the M classes.

Key term(s)
  • n dimensional probability density function

French

Domaine(s)
  • Télédétection
DEF

Technique de projection qui diminue la dimensionnalité des données, et réseau neuronal perfectionné qui utilise les mathématiques floues.

Spanish

Campo(s) temático(s)
  • Teledetección
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