Considering the aging and radiation recession of satellite remote senors on-orbit, regular in-orbit calibration is
essential to updating the calibration parameters and improving the data’s quantitative application level. This
paper reviews the existing on-orbit radiometric calibration methods, and introduces famous radiation
calibration fields around the world. Simultaneous ground measurement was carried out for the calibration of
visible-near infrared bands of HJ-1B satellite. A comparison was made between the results of the experiment
and the calibration parameters released along with environmental satellite images, which represents desirable
validity and applicability. The calibration result determined the sensor recession and aging in in-orbit
operation. Finally, reasonable proposals for the quantitative application of satellite data are given.
This paper makes a study of maximum a posteriori (MAP) estimation method for enhancing the spatial resolution of a
hyperspectral image using a higher resolution coincident panchromatic image. Here, the mathematical formulation of the
proposed MAP method is described and the detail process step is introduced. Then, enhancement results using PHI
hyperspectral image datasets are provided. In general, it is found that the MAP method is able to obtain high-resolution
hyperspectral data. Experiment shows that the method is effective while the enhancement for conventional methods, like
average estimation, is limited primarily to fuse spectral information.
KEYWORDS: Image fusion, Wavelets, Image resolution, Principal component analysis, Data fusion, Image filtering, Linear filtering, Multispectral imaging, Image enhancement, RGB color model
The fusion techniques have been developed quickly in recent years and become an important remote sensing research topic. This paper systematically discusses the technique used in pixel level image fusion including IHS transform, YIQ transform, HLS transform, HSV transform, PCA transform, HPF transform and wavelet transform image fusion method. Then a fusion experiment of IKONOS image is made to compares the different merging methods from spectral quality and the spatial quality in order to choose the suitable method for the high resolution image.
The basic principle of PHI hyperspectral imaging systems is introduced in this paper, and various methods for reflectance conversion are discussed and further reduced into three kinds, the methods based upon radioactive transfer theory, the normalization methods and empirical methods. By using the empirical line method, reflectance conversion of shanghais hyperspectral data was made. Experiments of hyperspectral image classification are practiced by using SAM matching model. The result of classification is better than that of traditional classification such as ISODATA. Research indicates that the diversity and complexity can be distinguished by using hyperspectral data.
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