Using complexity scores as stratification and weighting factors to optimize the selection process of samples (patches) (IMAGE)

Beijing Zhongke Journal Publising Co. Ltd.

Using complexity scores as stratification and weighting factors to optimize the selection process of samples (patches)

Caption

This study proposes an optimized sampling method based on surface complexity. By calculating local complexity scores, stratifying samples using quantiles, and applying weighted sampling probabilities, this approach ensures greater sample representativeness. It effectively reduces sampling bias, enhances the accuracy of remote sensing intelligent interpretation, and provides an optimized sample selection strategy for analyzing complex surface environments.

Credit

Beijing Zhongke Journal Publising Co. Ltd.

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CC BY

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