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《Journal of Geo-Information Science》 2015-06
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Standardization of Radiation Resolution for Fusion of Multi-sensor Remote Sensing Images

GAO Yonggang;XU Hanqiu;College of Environment and Resources, Fuzhou University;Institute of Remote Sensing Information Engineering, Fuzhou University;  
Today, an abundant supply of remote senseing data with various spatial, radiative and spectral resolutions from multi-platforms has provided rich sources of information for scientific research. In order to overcome the limitation of a particular type of remote sensing data in application, and take the full advantage of other remote sensing data, image fusion technique has been frequently used to enhance the resolution of remote sensing data and perform scale transformation among images obtained from different remote sensing platforms. A proper image fusion algorithm can not only improve the refinement of details of a low-resolution multispectral image,but also preserve its spectral information. Moreover, it can utilize the complementary information, reduce the data redundancy, and enhance the interpretation ability of the images. The fusion result is influenced by many factors,such as image fusion algorithm, seasonal difference, registration error, spatial and radiation resolution difference,etc. The images used in this study have different radiation resolutions, including 8 bit, 11 bit and 16 bit. In order to reduce the influence of differences in the radiation resolution and in the resultant data dynamic range on image fusion, this paper proposed a method for the standardization of radiation resolution. Based on the unification of quantization intervals for digital number, the transformation from low to high radiation variability through multiplication of a same proportion coefficient can reduce the loss of image information, which is caused by data bits conversion in the fusion process. The results show that the proposed standardization method of radiation resolution can be applied to remote sensing data with different quantization intervals and is easy to be programmed.When using the proposed standardization method for fusing different images, the resultant fusion results are almost identical to each other, either using real number value or integer value. Whereas, when using other quantization methods, the resultant fusion image with real number value is generally better than that with integer value.The standardization of radiation resolution is a necessary step for image fusion when using reflectance-based images, because all image fusion algorithms will cause a serious spectral distortion to the fusion results.
【Fund】: 福建省自然科学基金项目(2012J01171;2012J01169);; 国家科技支撑计划项目(2013BAC08B01-05);; 海岛(礁)测绘技术国家测绘地理信息局重点实验室基金(2010B09)
【CateGory Index】: P237
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