卫星图像区域检测的混合方法

Sarah Gherdaoui, H. Fizazi
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引用次数: 2

摘要

搜索和检测构成图像的不同区域是一个非常复杂的问题,使用近似算法是不可避免的。为此,应用了几种算法。在后者中,我们对生物灵感感兴趣,通过杂交两种算法:人工免疫系统(AIS)和进化算法(AE),以受益于免疫系统的良好编码和进化算法算子的变化,确保整个群体是解决方案。这种杂交的主要目的是使个体代表的大小最小,并加速收敛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Approach for the Detection of Regions of a Satellite Image
The search and detection of the different regions constituting an image is a problem of great complexity and the use of the approximation algorithms is inevitable. For this purpose, several algorithms have been applied. Among the latter, we are interested in bio-inspiration by hybridizing two algorithms: Artificial Immunity Systems (AIS) with Evolutionary Algorithms (AE) in order to benefit from the good codification of the immune systems and the variation of the operators of the evolutionary algorithms, ensuring that the entire population is the solution. The main interests of this hybridization are to minimize the size of the representation of the individuals and to accelerate the convergence.
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