| 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. |
| Genre: | Article |
| ProdID: | 70017398 |
| Citation Author: | Chavez, Jr. , Pat, S.; Gardner, James, V. |
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| Citation End Page: | 453 |
| Citation Issue: | 4 |
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| Citation Language: | English |
| Citation Larger Work Title: | Canadian Journal of Remote Sensing |
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| Citation Number Of Pages: | 11 |
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| Citation Publisher: | CASI |
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| Citation Search Results Text: | Extraction of spatial information from remotely sensed image data - an example: gloria sidescan sonar images; 1994; Article; Journal; Canadian Journal of Remote Sensing; Chavez, Jr. , Pat, S.; Gardner, James, V. |
| Citation Start Page: | 443 |
| Citation Volume: | 20 |
| Citation Year: | 1994 |
| Type: | citation/reference |
| Text: | Extraction of spatial information from remotely sensed image data - an example: gloria sidescan sonar images; 1994; Article; Journal; Canadian Journal of Remote Sensing; Chavez, Jr. , Pat, S.; Gardner, James, V. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Sat, 1 Jan 1994 00:00 -0600 |
| Publisher: | CASI |
