Survey of resampling techniques using MSS and synthetic imagery
By: Brian P. Bauer
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Abstract
The objective of this survey is to investigate the methods of interpolation and deconvolution for image restoration The methods evaluated are nearest neighbor, bilinear interpolation, cubic convolution, and two-dimensional deconvolution. The effects of these restoration methods are demonstrated using Landsat multispectral scanner (MSS) data and synthetic imagery.
The effect of these restoration methods are compared as to resolution and spatial frequency effects. The edge effect, a situation that occurs when fill (non-image) data is interpolated with image data, is also addressed.
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Unnumbered Series |
| Title | Survey of resampling techniques using MSS and synthetic imagery |
| DOI | 10.3133/70159186 |
| Year Published | 1980 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Publisher location | Sioux Falls, South Dakota |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 37 p. |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |