.png){kind=icon}
返回
Multicomponent image segmentation using a genetic algorithm and artificial neural network
.png){kind=icon}
PRE
AI
DOI：10.1109/LGRS.2007.903064.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Image segmentation is an essential process for image analysis. Several methods were developed to segment multicomponent images, and the, success of these methods depends on several factors including 1) the characteristics of the acquired image and 2) the percentage of imperfections in the process of image acquisition. The majority of these methods require a prion knowledge, which is difficult to obtain. Furthermore, they assume the existence of models that can estimate its parameters and fit to the given data. However, such a parametric approach is not robust, and its performance is severely affected by the correctness of the utilized parametric model. In this letter, a new multicomponent image segmentation method is developed using a nonparametric unsupervised artificial neural network called Kohonen's selforganizing map (SOM) and hybrid genetic algorithm (HGA). SOM is used to detect the main features that are present in the image; then, HGA is used to cluster the image into homogeneous regions without any a priori knowledge. Experiments that are performed on different satellite images confirm the efficiency and robustness of the SOM-HGA method compared to the Iterative Self-Organizing DATA analysis technique (ISODATA).
Keyword:
aerial image
genetic algorithm (GA)
image segmentation
neural network
satellite image
unsupervised classification
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
16.4
论文数:
1.0W
被引数:
5.1K
机构
暂无机构信息
引用论文
Existe na agricultura brasileira um setor que corresponde ao "family farming" americano?巴西农业中是否存在一个与美国“family farming”相对应的部门？
OAAI
OAAI分享收藏Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery.png)
PATTERN RECOGNITION
OAAI
PATTERN RECOGNITIONIF7.6
OAAI分享收藏Dysfunctions of decision‐making and cognitive control as transdiagnostic mechanisms of mental disorders: advances, gaps, and needs in current research作为精神障碍的跨诊断机制的决策和认知控制功能障碍: 当前研究的进展，差距和需求OAAI
OAAI分享收藏Zur Kenntnis der Reaktion von α.β‐ungesättigten Carbonsäuren und deren Estern mit Hydrazin关于α,β-不饱和羧酸及其酯与肼的反应的认识
PREAI
分享收藏分享收藏
查看更多内容