Name
Abstract | ||
|---|---|---|
The field of optical remote sensing for the analysis of Earth's resources has grown tremendously over the past 20 years. With increasing societal concern over such problems as ozone layer depletion and global warming, political support is likely to continue that growth. NASA has recently begun a program that will use state of the art sensor technology and processing algorithms to gain ever more detailed data about our Earth. To better understand the remote sensing process, research has begun on modeling the process as a system and investigat- ing the interrelationships of system components. This paper presents a system model for the remote sensing process and some results that yield insight into its understanding. Key results include interrelationships between the atmosphere, sensor noise, sensor view angle, and scattered path radiance and their influence on classification accuracy of the ground cover type. Also included are results indicating the trade-offs in ground cell size and surface spatial correlation and their effect on classification accuracy. |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/21.101143 | Systems, Man and Cybernetics, IEEE Transactions |
Keywords | Field | DocType |
computerised pattern recognition,digital simulation,image sensors,remote sensing,statistics,earth-observational remote sensing systems,analytical model,atmosphere,classification accuracy,ground cell size,scattered path radiance,sensor noise,sensor view angle,surface spatial correlation,spatial correlation,earth observation,system modeling | Atmosphere,Spatial correlation,Image sensor,Computer science,Remote sensing,Bruit,Radiance,System model,Tierra | Journal |
Volume | Issue | ISSN |
21 | 1 | 0018-9472 |
Citations | PageRank | References |
14 | 3.97 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John P. Kerekes | 1 | 194 | 35.38 |
| David A. Landgrebe | 2 | 807 | 125.38 |