Name
Abstract | ||
|---|---|---|
Satellite-based spectra are a complicated function of imaging time, imaging azimuth, imaging channel, atmospheric status and ground object category. This complicated function accordingly leads to the ambiguity and uncertainty of satellite-based spectra and image classification. The uncertainty of satellite-based spectra can be divided into two categories. One is background noise; the other is SODS (same object different spectrum) and DOSS (different object similar spectrum). A method to analyze and lower the DOSS uncertainty of satellite-based spectra based on Fourier waveform analysis is discussed in this paper |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/IGARSS.2004.1370402 | IGARSS |
Keywords | Field | DocType |
atmospheric status,fourier transforms,hyperspectral image uncertainties,geophysical techniques,remote sensing,satellite-based spectra,same object different spectrum,imaging azimuth,image classification,geophysical signal processing,imaging channel,ground object category,background noise,gray value,fourier waveform analysis,imaging time,different object similar spectrum,fourier vaveform analysiss,sods,image ambiguity,uncertainties,doss uncertainty,spectrum | Computer vision,Satellite,Background noise,Computer science,Remote sensing,Azimuth,Communication channel,Spectral line,Fourier transform,Hyperspectral imaging,Artificial intelligence,Contextual image classification | Conference |
Volume | Issue | ISSN |
5 | null | 2153-6996 |
ISBN | Citations | PageRank |
0-7803-8742-2 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu Lun | 1 | 14 | 3.45 |
| Zhenji Gao | 2 | 1 | 2.38 |
| Yu Liu | 3 | 41 | 11.03 |
| Hailong Yu | 4 | 9 | 3.09 |