Name
Abstract | ||
|---|---|---|
To help better understand the problems of specifying data acquisition parameters and extracting desired information from the voluminous data, research has been focused on understanding the remote sensing process as a system and investigating the interrelated effects of various parameters. A system model is used to explore system parameter trade-offs for a model sensor based on the High-Resolution Imaging Spectrometer (HIRIS). Radiometric performance was studied, along with the effect on classification accuracy of several system parameters. The atmosphere and sensor have significant effects on the mean received signal and noise performance. The effect of random uncorrelated errors in the radiometric calibration of the detector array is discussed. Accurate pixel-to-pixel relative radiometric calibration and the use of the image motion compensation (IMC) option are seen to improve classification accuracy. The selection of feature sets based on combining spectral bands was studied under a variety of observational conditions |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/36.103293 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
data acquisition,geophysical equipment,radiometry,remote sensing,spectrometers,hiris,high-resolution imaging spectrometer,atmosphere,classification accuracy,detector array,image motion compensation,imaging spectrometers,mean received signal,model sensor,noise performance,parameter trade-offs,radiometric calibration,random uncorrelated errors | Radiometric calibration,Imaging spectrometer,Image sensor,Data acquisition,Remote sensing,Sensor array,Radiometry,Multispectral pattern recognition,Imaging spectroscopy,Mathematics | Journal |
Volume | Issue | ISSN |
29 | 1 | 0196-2892 |
Citations | PageRank | References |
4 | 1.39 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John P. Kerekes | 1 | 194 | 35.38 |
| Landgrebe, D.A. | 2 | 4 | 1.39 |