2015
DOI: 10.5194/isprsarchives-xl-1-w5-613-2015
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Segmentation of Polarimetric Sar Images Usig Wavelet Transformation and Texture Features

Abstract: S:Polarimetric Synthetic Aperture Radar (PolSAR) sensors can collect useful observations from earth's surfaces and phenomena for various remote sensing applications, such as land cover mapping, change and target detection. These data can be acquired without the limitations of weather conditions, sun illumination and dust particles. As result, SAR images, and in particular Polarimetric SAR (PolSAR) are powerful tools for various environmental applications. Unlike the optical images, SAR images suffer from the u… Show more

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“…According to whether there exists data label and manual intervention, the classification methods can be mainly divided into two types, supervised and unsupervised methods. The unsupervised classification methods classify data according to their statistical characteristics without prior knowledge, such as complex Wishart [8]- [10], k-means clustering [11], [12], fuzzy c-means clustering [13], Expectation Maximization [14] and so on. The unsupervised classification methods cannot obtain satisfactory classification accuracy, when the difference in scattering characteristics of targets is small.…”
Section: Introductionmentioning
confidence: 99%
“…According to whether there exists data label and manual intervention, the classification methods can be mainly divided into two types, supervised and unsupervised methods. The unsupervised classification methods classify data according to their statistical characteristics without prior knowledge, such as complex Wishart [8]- [10], k-means clustering [11], [12], fuzzy c-means clustering [13], Expectation Maximization [14] and so on. The unsupervised classification methods cannot obtain satisfactory classification accuracy, when the difference in scattering characteristics of targets is small.…”
Section: Introductionmentioning
confidence: 99%