Extraction of spatial information from remotely sensed image data - an example: gloria sidescan sonar images
Canadian Journal of Remote Sensing
By: Pat S. Chavez Jr. and James V. Gardner
Links
- The Publications Warehouse does not have links to digital versions of this publication at this time
- Download citation as: RIS | Dublin Core
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.
| 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 |
| Google Analytic Metrics | Metrics page |