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Research on China’s land image mosaicking and mapping technology based on GF-1 satellite WFV data |
| JINAG Wei1,2, HE Guojin1,3,4, LIU Huichan1,3,4, LONG Tengfei1,3,4, WANG Wei1, ZHENG Shouzhu5, MA Xiaoxiao1,2 |
1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
2. University of the Chinese Academy of Sciences, Beijing 100049, China;
3. Key Laboratory of Earth Observation Hainan Province, Sanya 572029, China;
4. Sanya Institute of Remote Sensing, Sanya 572029, China;
5. College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China |
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Abstract GF-1 is the first satellite in the major projects of high resolution observation system in China. It has provided abundant data for high and moderate spatial resolution image mosaicking for more than four years since its launching. The process of image mosaicking was based on the characteristics of the wide field of view (WFV)images of GF-1,including four key techniques i.e., data selection, geometric rectification, color adjustment, image mosaicking and mapping. The high precision geometric positioning of wide image is the key technology. After high quality data selection, ground control points (GCPs) were collected automatically. The root mean square error(RMSE)of each image should be less than 1 pixel with the average number of GCPs being 54. Then rational function model(RFM)was applied to the images for ortho-rectification. The 1: 5 000 000 national land image map was completed after color adjustment and mosaicking. This map has high spatial accuracy, colored pixels and temporal resolution. The method proposed in this paper could provide an important reference for the series of GF satellites image mosaicking and mapping, and would promote the domestic satellites to play a greater role in investigation of major resources and environment in China.
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| Keywords
GF-1
mine remote sensing monitoring
data processing
information extraction
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Issue Date: 04 December 2017
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2017,
Vol. 29
