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EDGE FINING ALGORITHM OF TEXTURE CLASSIFICATION FOR HIGH RESOLUTION REMOTE SENSING IMAGES
Image interpretation Classification Image understanding Texture Analysis Land Cover High resolution Image
2015/12/31
In order to improve the classification accuracy of the high resolution remote sensing images, the algorithm based on texture features is proposed in this paper. The image is classified initially by te...
TEXTURE CLASSIFICATION OF AERIAL IMAGE BASED ON BAYESIAN NETWORK AUGMENTED NAIVE BAYES
Texture Classification Pattern Recognition Aerial Image
2015/12/31
Classification is an open, old and basic problem in many domains. Recently, a lot of new methods come forth, such as Bayesian Networks. Bayesian Networks, one of probabilistic networks, are a powerful...
Accuracy of Lacunarity Algorithms in Texture Classification of High Spatial Resolution Images from Urban Areas
Accuracy Algorithms Texture Classification High Resolution Urban
2015/12/8
Lacunarity based measures can be described as texture recognition approaches that provide a flexible yet theoretically consistent mean of characterizing the morphology of urban spatial patterns across...
GEOSTATISTICAL TEXTURE CLASSIFICATION OF TROPICAL RAINFOREST IN INDONESIA
spectral classification tropical rainforests semivariogram texture layers geostatistics
2015/9/28
Traditional spectral classification of remote sensing data applied on per pixel basis ignores the potentially useful spatial information between the values of proximate pixels. Although spatial inform...
FEATURE FUSION BASED ON DEMPSTER-SHAFER'S EVIDENTIAL REASONING FOR I MAGE TEXTURE CLASSIFICATION 1 *
Feature fusion Dempster-Shafer's evidential reasoning
2015/6/2
A new multi-feature fusion technique based on Dempster-Shafer's evidential reasoning for classification of image texture is
presented. The proposed technique is divided into three main steps. In the...