一種基于Zemike矩和穩(wěn)態(tài)遺傳算法的遙感圖像匹配方法
A Remote Sensing Images Matching Method Based on Zernike Moments and Steady Genetic Algorithms
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摘要: 該文提出了一種基于穩(wěn)態(tài)遺傳算法和Zernike矩的遙感圖像匹配方法。將穩(wěn)態(tài)遺傳算法快速而有效的全局尋優(yōu)特點應(yīng)用于遙感圖像的匹配定位?？紤]到旋轉(zhuǎn)畸變,采用遙感圖像的Zernike矩作為相似性量度,實現(xiàn)遙感圖像的匹配。實驗結(jié)果表明,該算法可以克服圖像的旋轉(zhuǎn)畸變,在保證一定的匹配精度下,具有較高的匹配效率。
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關(guān)鍵詞:
- 穩(wěn)態(tài)遺傳算法; Zemike矩; 圖像匹配
Abstract: In this paper, a remote sensing images matching method based on Zernike moments and steady genetic algorithms is proposed. Genetic algorithms, which are rapid and efficient in global finding optima, are used to match the images. Considering rotation distortion, the Zernike moments of remote sensing images are used as similarity measurements. The results confirm the proposed algorithm can overcome the distortion of images and improve the efficiency while guarantee the accuracy. -
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