CBERS-1 images are assessed in this paper with image information capacity and power spectrum. Through comparison the same areas of CBERS-1 image and TM image, the CBERS-1 image quality is reflected impersonality. Experiments result shows that CBERS-1 image have the approximately same image quality as TM image both in information abundance and in texture feature, and it has fine image quality in comparison.
This article introduces the processing procedure and key techniques of the CBERS-1 IRMSS 0-level image processing system, includes pre-processing, radiation correction, and geometry correction. The main purpose of the processing is that using image engineering method to remove the influence comes from camera's physical feature so as to improve the image quality.
Affected by time difference, sensor and other unsure factors, there is often strip interfering appeared in bi-directional scanning satellite image. The usual method used to remove strip interfering is filtering in frequency field. According to the number of detecting units in detector, using properties of multi-scale and localization, a proper sub-image corresponding to strip noise is got by wavelet decomposition. By processing the sub-image, ideal result is obtained. As far as removing dragging-part and remaining information are concerned, this method is better than the one based on Fourier transform. Experiments with CBERS-1 images have shown that this method is very effective.
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