A Study on Remote Sensing Image Radiation Quality Metric Model Based on Correlative Factors

doi:10.7517/j.issn.1674-0475.2014.03.238

Abstract

Abstract:

Current evaluation methods of remote sensing image radiation quality are mainly based on visual judgment and are, therefore, very subjective. To the problem of how to evaluate remote sensing image radiation quality objectively and comprehensively, this study developed a metric model which employs images quality-correlative factors to give a solution. This model extracts four factors, these are brightness, clarity, information and texture feature. The correlation analytical method was used in this research to calculate the weight-value of the four factors. For the clarity factor, a new method that improved gradient function was developed. Experiments have shown that the final evaluation results have a higher consistency of subjective assessment for different types of remote sensing images, and this model can well correlated with human perception. The remote sensing image radiation quality metrics model can analysis the quality objectively and quantitatively, and can be well correlated with human perception.

Key words: remote sensing image, radiation quality, correlative factors, correlation analytical method, clarity

LIU Sa, WANG Mingzhi, WU Liang, YAN Lei. A Study on Remote Sensing Image Radiation Quality Metric Model Based on Correlative Factors[J]. Imaging Science and Photochemistry, 2014, 32(3): 238-250.

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