| Technology and Methodology |
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Study of key technology of SPOT6 satellite image processing |
| MA Shibin1,2, YANG Wenfang1,2, ZHANG Kun1,2 |
1. Center of Remote Sensing, Institute of Geological Survey of Qinghai Province, Xining 810012, China;
2. Qinghai-Tibet Plateau During the North Qilian Geology and Mineral Resources Laboratory of Qinghai Province, Xining 810012, China |
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Abstract Taking the SPOT6 satellite data acquired in September 2012 as the information sources and based on three aspects of key techniques comprising ortho-rectification, image fusion and band combination, the authors carried out a preliminary study of the satellite image processing. The results show that, in the ortho-rectification processing under the premise of the same auxiliary information with high accuracy, the data corrected by rational function model (RFM)and rigorous physical model(RPM)can meet the mapping accuracy of the ortho image at 1:15 000 scale, whereas the precision of the RPM corrected image is better than that of the RFM. In addition, in the GCP number demand, the RPM needs at least 8 points, whereas the RFM needs only 3~4 points. In image fusion, PanSharp transform fusion image has comprehensive advantages in information content, spectral feature and edge feature. In the band combination selection, it is considered that the band combination of B4(R)B1(G)[(B2+B3)/2](B)is the best for the purpose of extracting information. As for the purpose of drawing, the selection of the band combination of B3(R)B2(G)B1(B) can obtain better effect.
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| Keywords
long time series
geographical conditions monitoring
indicator system
temporal and spatial variation
driving force
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Issue Date: 23 July 2015
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2015,
Vol. 27
