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HYPERSPECTRAL IMAGES FOR UNCERTAINTY INFORMATION INTERPRETATION BASED ON FUZZY CLUSTERING AND NEURAL NETWORK
Uncertainty Information Fuzzy Clustering Feature Recognition Hyperspectral Understanding Neural Network
2015/12/23
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
Automatic Road Extraction from High Resolution Satellite Images Using Neural Networks, Texture Analysis, Fuzzy Clustering and Genetic Algorithms
Road Extraction Neural Networks Co-occurrence Texture Analysis Fuzzy Clustering Vectorization
2015/12/9
In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-sharpened satellite images is presented. The proposed methodology consists of two separate stages of ro...
基于加权模糊聚类的农田养分管理区划分（Determination of the Soil Nutrient Management Zones Based on Weighted Fuzzy Clustering）
精细农业 农田养分 加权模糊聚类
2009/11/3
将加权模糊聚类算法应用于管理区划分，权值的确定分别采用主成分分析法和变异系数法。在吉林省榆树市精细农业试验田获取土壤氮、磷、钾数据，应用本文提出的加权模糊聚类算法进行管理区划分,确定了试验区的管理分区数目,并与传统的模糊聚类方法进行了比较。结果表明，基于加权模糊聚类的管理分区更合理、更符合实际情况，该方法可用于指导精准施肥。
Fuzzy Clustering Neural Network as Flood Forecasting Model
Fuzzy Clustering Neural Network Flood Forecasting Model
2009/10/22
Flood forecasting is always a challenge in Taiwan, which has a subtropical climate
and high mountains. This paper develops a fuzzy clustering neural network
(FCNN), and implements this novel structu...
A Hybrid Approach of Using Wavelets and Fuzzy Clustering for Classifying Multispectral Florescence In Situ Hybridization Images
Classifying Multispectral Florescence Situ Hybridization Images
2009/9/8
Multicolor or multiplex fluorescence in situ hybridization (M-FISH) imaging is a recently developed molecular cytogenetic diagnosis technique for rapid visualization of genomic aberrations at the chro...
Molecular Image Segmentation Based on Improved Fuzzy Clustering
Molecular Image Segmentation Improved Fuzzy Clustering
2009/9/7
Segmentation of molecular images is a difficult task due to the low signal-to-noise ratio of images. A novel two-dimensional fuzzy C-means (2DFCM) algorithm is proposed for the molecular image segment...
Image segmentation based on fuzzy clustering with neighborhood information
image segmentation clustering fuzzy c-means
2011/5/6
In this paper, an improved fuzzy c-means (IFCM) clustering algorithm for image segmentation is presented. The originality of this algorithm is based on the fact that the conventional FCM-based algorit...
会议信息
篇名
Power system load forecasting based upon combination of Markov chain and fuzzy clustering
语种
中文
撰写或编译
撰写
作者
Chen Xun,Xu Layuan and Ren Xuemei
第一作者单位
北京理工大学
会议名称
Proceedings of the 5th World Co...
Fuzzy clustering with spatial constraints for image thresholding
image thresholding fuzzy c-means k-nearest neighbor fuzzy thresholding
2011/4/28
Image thresholding plays an important role in image segmentation. This paper presents a novel fuzzy clustering based image thresholding technique, which incorporates the spatial neighborhood informati...
Maximum Entropy-Based Fuzzy Clustering by Using L1-norm Space
Fuzzy c-means Maximum Entropy Structure Strength Number of Clusters L1-norm Space
2010/2/26
One of the most important methods in analysis of large data sets is clustering. These methods are not only major tools to uncover the underlying structures of a given data set, but also promising tool...