Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Effects of noise on the information content of remote sensing images
Ram M. Narayanan
, Sudhir K. Ponnappan
, Stephen E. Reichenbach
Electrical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Effects of noise on the information content of remote sensing images'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Remote Sensing Image
100%
Information Content
100%
Noise Effects
100%
Specific Applications
33%
Mathematical Model
33%
Geophysical Processes
33%
Image Information Content
33%
Classification Accuracy
33%
Geophysical Parameters
33%
Signal-to-noise Ratio
33%
Remote Sensing Data
33%
Class number
33%
Corrupt
33%
Sensor Type
33%
Corruption
33%
Image Processing Techniques
33%
Electromagnetic Spectrum
33%
Distance Correlation
33%
Physical Limitations
33%
Noise Type
33%
SIR-C
33%
Noise Variance
33%
Spatially Correlated Noise
33%
Landsat TM
33%
Sensor Image
33%
Physics
Signal-to-Noise Ratio
100%
Mathematical Model
100%
Image Processing
100%
Random Noise
100%
Electromagnetic Spectra
100%
Computer Science
Information Content
100%
Remote Sensing Image
100%
Information Loss
50%
Varying Degree
25%
Remotely Sensed Data
25%
Noise-to-Signal Ratio
25%
Classification Accuracy
25%
Limiting Factor
25%
Image Information
25%
Extracted Information
25%
Gaussian White Noise
25%
Earth and Planetary Sciences
Remote Sensing
100%
Random Noise
50%
Image Processing
50%
Landsat Thematic Mapper
50%
Shuttle Imaging Radar
50%
Electromagnetic Spectra
50%
Limiting Factor
50%
Engineering
Shuttle Imaging Radar
25%