Water bodies identification from multispectral images using Gabor filter, FCM and canny edge detection methods

T. Vignesh, K. Thyagharajan
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引用次数: 12

Abstract

Water bodies identification using multispectral images is a very useful application of image processing. This paper proposed a novel method for water bodies identification from multispectral images using Gabor filter, Fuzzy c-means and canny edge detection algorithm. Gabor filter is a combination of lowpass filter and bandpass filter. This two filters extracting the importance features from satellite images. From the extracted features fuzzy c-means algorithm clustered the various land use and land cover classes. Finally water bodies are identified from land use and land cover classes with the use of canny edge detection methods. The proposed approach was experimented with the use of Landsat-7, Landsat-8 satellite images. Our experimental results proved that proposed methods provides better result for water identification with high efficiency.
利用Gabor滤波、FCM和canny边缘检测方法对多光谱图像进行水体识别
利用多光谱图像进行水体识别是一种非常有用的图像处理应用。本文提出了一种基于Gabor滤波、模糊c均值和canny边缘检测算法的多光谱水体识别新方法。Gabor滤波器是低通滤波器和带通滤波器的结合。这两个滤波器从卫星图像中提取重要特征。从提取的特征中,模糊c均值算法对不同的土地利用和土地覆盖类别进行聚类。最后利用精细的边缘检测方法从土地利用和土地覆盖类别中识别水体。采用陆地卫星7号、陆地卫星8号卫星图像对提出的方法进行了试验。实验结果表明,该方法对水体识别效果好,效率高。
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