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基于遗传算法的快速影像匹配技术的研究 总被引:1,自引:0,他引:1
提出了一种将遗传算法(简称GA)用于影像匹配的算法,较为详细地分析了遗传算法中群体的大小、交叉率、变异率、选择机制对影像匹配的影响,特别是对未成熟收敛等问题进行了较为深入的研究.实验证明该算法快速、有效. 相似文献
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本文针对影像导航中矢量地图更新慢的问题,提出了利用地图匹配方法进行更新的思想,并介绍了基于遗传算法的匹配方法,同时为了纠正遗传算法在处理平行线时的错误情况,提出了距离角度拟合算法,并进行了实验,结果表明:改进的算法可以较好地纠正遗传算法的错误。 相似文献
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针对喀斯特地貌地形起伏大、沟壑纵深、影像局部存在阴影,该地区无人机遥感影像匹配难度大,该文提出一种基于AKAZE特征和RANSAC算法的喀斯特地貌无人机遥感影像的快速匹配方法。该方法采用AKAZE特征检测算法提取喀斯特地貌无人机遥感影像的特征点,能够较为精简地描述出影像的特征,影像匹配时间缩短,匹配速度提高明显;由于预匹配存在错误点对,利用单应性矩阵的RANSAC算法进行精准匹配,剔除错误匹配点对,同时得到最优的单应性矩阵。实验结果表明,该方法的匹配耗时和匹配正确率较优于经典的SURF和BRISK算法,该匹配方法更适合于喀斯特地貌无人机遥感影像匹配。 相似文献
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将KLT算法应用于车载序列影像匹配中,并结合金字塔分层技术和RANSAC算法剔除了错误匹配。结果表明,基于KLT的车载序列影像匹配方法是可行的,且提高了车载序列影像匹配的正确率。 相似文献
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目前,针对影像特征匹配的算法有很多,但是对于不同地物特征的影像,无法准确地选取可适用的匹配算法。针对此问题,本文选取了四种稳健的算法SIFT、SURF、ORB、AKAZE,在四种不同地物特征的相似影像上进行特征点检测,之后结合不同的描述子进行影像特征匹配,并对所检测的特征点的重复率及其描述子进行适应性实验,以此来判断不同算法对不同地物特征的影像适应范围。实验数据表明:针对特征点适应性实验,AKAZE算法在各类影像上所提取的特征点相对比较稳定;针对特征点匹配实验,在影像不涉及旋转变化时,AKAZE与SIFT描述子结合进行特征点匹配,影像的匹配率显著提高;若要实现影像的旋转不变性,此时可选用SURF-SIFT、AKAZE。 相似文献
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阐述了遗传算法的基本原理,提出了与马尔柯夫随机场相结合的遗传算法在影像纹理分类中的应用。通过对4种纹理取样的实验,表明这种影像纹理分类方法可以提高分类的正确率。 相似文献
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论空间数据挖掘和知识发现的理论与方法 总被引:114,自引:0,他引:114
首先分析了空间数据挖掘和知识发现(SMDKD)的内涵和外延;然后分别研究了用于SDMKD的概率论,证据理论,空间统计学,规则归纳,聚类分析,空间分析,模糊集,云理论,粗集,神经网络,遗传算法,可视化,决策树,空间在线数据挖掘等理论和方法及其进展;最后展望了SDMKD的发展前景。 相似文献
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协同模型与遗传算法的集成 总被引:4,自引:4,他引:4
郑肇葆 《武汉大学学报(信息科学版)》2001,26(5):381-386
提出协同模型中蚁群算法和遗传算法集成的方案,用于生成纹理分类的模板。介绍了蚁群算法的原理和集成方案的实施步骤,以及在搜索最优解过程中蚁群移动方向的决策方法。为了验证集成方案的正确性,对航空影像的居民地、灌木、水田、山地、旱地5种目标进行了识别试验,并与仅使用遗传算法的结果进行了比较。试验结果表明,该集成方案的识别效果有明显的提高。 相似文献
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This paper introduces a novel technique for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structure element, which is derived by genetic algorithms. The population of morphological filtersis iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring element using the evolution principles of genetic search. Experimental results of road extraction from high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method. 相似文献
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LIBin PANLi 《地球空间信息科学学报》2004,7(3):193-197
This paper introduces a novel technique for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structure element, which is derived by genetic algorithms. The population of morphological filters is iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring element using the evolution principles of genetic search. Experimental results of road extraction from high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method. 相似文献
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论述了遗传算法的基本原理、操作和特点,并以图像阈值选取中的最大类间方差法为例,给出用遗传算法优化图像阈值选取的步骤和方法,实验结果表明了这一方法的有效性。 相似文献
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This paper introduces the principle of genetic algorithm and the basic method of solving Markov random field parameters. Focusing on the shortcomings in present methods, a new method based on genetic algorithms is proposed to solve the parameters in the Markov random field. The detailed procedure is discussed. On the basis of the parameters solved by genetic algorithms, some experiments on classification of aerial images are given. Experimental results show that the proposed method is effective and the classification results are satisfactory. 相似文献
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ZHENG Zhaobao 《地球空间信息科学学报》2000,3(3):14-18
This paper introduces the principle of genetic algorithm and the basic method of solving Markov random field parameters.Focusing on the shortcomings in present methods,a new method based on genetic algorithms is proposed to solve the parameters in the Markov random field.The detailed procedure is discussed.On the basis of the parameters solved by genetic algorithms,some experim ents on classification of aerial images are given.Experimental results show that the proposed method is effective and the classification results are satisfactory. 相似文献
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ZHENGZhaobao 《地球空间信息科学学报》2002,5(1):1-6
In the photogrammetry,some researchers have applied genetic algorithms in aerial image texture classification and reducing hyper-spectrum remote sensing data.Genetic algorithm can rapidly find the solutions which are close to the optimal solution.But it is not easy to find the optimal solution.In order to solve the problem,a cooperative evolution idea integrating genetic algorithm and ant colony algorithm is presented in this paper.On the basis of the advantages of ant colony algorithm,this paper proposes the method integrating genetic algorithms and ant colony algorithm to overcome the drawback of genetic algorithms.Moreover,the paper takes designing texture classification masks of aerial images as an example to illustrate the integration theory and procedures. 相似文献