Effect of spatial resolution on information content characterization in remote sensing imagery based on classification accuracy

International Journal of Remote Sensing

Volumn 23, Issue 3, 2002, Pages 537-553

  Narayanan, R M ^a   Desetty, M K ^a   Reichenbach, S E ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ENTROPY; IMAGE PROCESSING; RADAR; RADIOMETRY;

SPATIAL RESOLUTION;

REMOTE SENSING;

IMAGE CLASSIFICATION; IMAGE PROCESSING; LANDSAT THEMATIC MAPPER; REMOTE SENSING; SPATIAL RESOLUTION;

EID: 0037050759     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160010025970     Document Type: Article

References (22)

1. Choosing an appropriate spatial resolution for remote sensing investigations
2. Comparing effects of aggregation methods on statistical and spatial properties of simulated spatial data
3. Information content of coherent images
4. Understanding the scale and resolution effects in remote sensing and GIS
5. Information content of high resolution satellite imagery
6. The information content of synthetic apertaure radar images of terrain
7. Textural features for image classification
8. Application of Shannon information theory to a comparison between L- and C-band SIR-C polarimetric data versus incidence angle
9. Information content of radar remote sensing systems from space
10. Digital image enhancement and noise filtering by use of local statistics
11. Speckle suppression and analysis for synthetic aperture radar images
12. Evaluating the information content of JERS-1 SAR and Landsat TM data for discrimination of soil erosion features
13. Tradeoff between pixture element dimensions and noncoherent averaging in side-looking airborne radar
14. Textural characterisation of imagery in terms of information content
15. Information from SAR images
16. A dispersion method for observing deterministic objects as textural optical and radar images of the Earth's surface
17. Comparison of the information content of data from the LANDSAT-4 thematic mapper and the multispectral scanner
18. Texture representation and classification: The feature frequency approach
19. Textural features corresponding to visual properties