Name
Abstract | ||
|---|---|---|
A Micro-satellite Constellation for Environment and Disaster Monitoring was successfully launched in China on September 6, 2008, which includes two small satellites, Satellite-A (HJ-1A) and Satellite-B (HJ-1B). The interferometric imaging spectrometer (IFIS) installed on HJ-1A is the first hyperspectral earth observation sensor in China. To assess the data quality of IFIS, a calibration experiment was carried out at the Dunhuang Calibration Site on October 20, 2008. With the simultaneous measurements acquired from the Dunhuang calibration field, the 6s radiative transfer code was used to retrieve the ground surface reflectance. By comparing the in-situ reflectance and 6S reflectance of the Dunhuang calibration target, the radiometric and spectral performance of the IFIS was evaluated. From the homogeneous image of the calibration target, the Signal-to-Noise Ratio (SNR) of IFIS data was estimated based on the high correlation between bands. This noise estimation results was used to estimate noise covariance matrix needed for hyperspectral data dimension reduction, such as Maximum Noise Fractions (MNF). The assessment results indicated that the IFIS has good performance and will be promising in the applications of environment and disaster monitoring. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5416885 | IGARSS |
Keywords | Field | DocType |
satellite-b,remote sensing,6s radiative transfer code,geophysical equipment,ground surface reflectance,calibration,ad 2008 09 06,hyperspectral data dimension reduction,image quality evaluation,chinese first earth observation hyperspectral satellite,satellite-a,interferometric imaging spectrometer (ifis),hj-1a,microsatellite constellation,dunhuang calibration target,environment monitoring,dunhuang calibration site,ifis data quality,disaster monitoring,noise covariance matrix,hj-1a satellite,geophysical image processing,in-situ reflectance,hyperspectral earth observation sensor,hj-1b satellite,ad 2008 10 20,interferometric imaging spectrometer,signal-to-noise ratio,radiometry,covariance matrix,earth observation,dimension reduction,reflectivity,noise reduction,data quality,image quality,radiative transfer,hyperspectral sensors,satellites,noise,hyperspectral imaging,signal to noise ratio,imaging spectrometer,earth | Noise reduction,Computer vision,Imaging spectrometer,Satellite,Computer science,Signal-to-noise ratio,Remote sensing,Hyperspectral imaging,Radiometry,Artificial intelligence,Earth observation,Calibration | Conference |
Volume | ISSN | ISBN |
1 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
9 | 1.64 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bing Zhang | 1 | 422 | 74.10 |
| Zhengchao Chen | 2 | 22 | 10.85 |
| Junsheng Li | 3 | 9 | 2.32 |
| Lianru Gao | 4 | 373 | 59.90 |