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Research on ortho-rectification and true color synthesis technique of GF-1 WFV data in China-Pakistan Economic Corridor |
Yizhe WANG1, Guo LIU2,3( ), Li GUO1, Shihu ZHAO1, Xueli ZHANG4 |
1. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China 2. National Engineering Research Center for Geographic Information System, Wuhan 430074, China 3. The National Geological Library of China, Beijing 100083, China 4. East China Mineral Exploration and Development Bureau, Nanjing 210007, China |
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Abstract With its advantages of wide breadth, strong comprehensive coverage and short revisit period, GF-1 satellite has become one of the important data sources used in land and resources survey, remote sensing monitoring of agriculture and forestry, and major national engineering construction. In this study, the authors took the China-Pakistan Economic Corridor as an example, selected the GF-1 WFV data for comparative experiments, and analyzed two key factors that affect the application of remote sensing images, i.e., how to improve the geometric positioning accuracy of remote sensing images and the true color image synthesis method. The experimental results indicate that the block adjustment model based on rational function model technology and RGB-NIR color synthesis model have good performance in image accuracy and visual effect of imagery respectively. The X-direction residual and Y-direction residual of ortho-image were improved to 0.79 pixels and 0.83 pixels. The information entropy, average gradient, mean and standard deviation of the resulting images were improved in varying degrees. This method could not only ensure the true and natural color of the image but also keep the information details, with the image surface effect better optimized. This test method is a better strategy for large scale data application in actual production.
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Keywords
GF-1 WFV data
block adjustment
accuracy
true color image enhancement
China-Pakistan Economic Corridor
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Corresponding Authors:
Guo LIU
E-mail: liuguo@cgl.org.cn
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Issue Date: 18 June 2020
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