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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
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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
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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
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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。
Image segmentation based on fuzzy clustering with neighborhood information
image segmentation clustering fuzzy c-means
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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...
Fuzzy clustering with spatial constraints for image thresholding
image thresholding fuzzy c-means k-nearest neighbor fuzzy thresholding
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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...