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Extraction of spatial information from remotely sensed image data - an example: gloria sidescan sonar images

Canadian Journal of Remote Sensing

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Abstract

A method to extract spatial amplitude and variability information from remotely sensed digital imaging data is presented. High Pass Filters (HPFs) are used to compute both a Spatial Amplitude Image/Index (SAI) and Spatial Variability Image/Index (SVI) at the local, intermediate, and regional scales. Used as input to principal component analysis and automatic clustering classification, the results indicate that spatial information at scales other than local is useful in the analysis of remotely sensed data. The resultant multi-spatial data set allows the user to study and analyze an image based more on the complete spatial characteristics of an image than only local textural information.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Extraction of spatial information from remotely sensed image data - an example: gloria sidescan sonar images
Series title:
Canadian Journal of Remote Sensing
Volume
20
Issue:
4
Year Published:
1994
Language:
English
Publisher:
CASI
Publisher location:
Ottawa, Canada
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Canadian Journal of Remote Sensing
First page:
443
Last page:
453