Segmentation of satellite images is the noteworthy and essential step for better
understanding and analysis in various applications such as disaster and crisis management …

A modified differential evolution (DE) algorithm is presented for clustering the pixels of an
image in the gray-scale intensity space. The algorithm requires no prior information about …

Gaussian Markov random fields (GMRFs) are used to analyze textures. GMRFs measure the
interdependence of neighboring pixels within a texture to produce features. In this paper …

A huge effort has been applied in image classification to create high-quality thematic maps
and to establish precise inventories about land cover use. The peculiarities of remote …

Objective and detailed mapping of urban land-cover types over large areas is important for
hydrological modelling, as most man-made land-cover consist of sealed surfaces which …

Texture features are useful for segmentation of high-resolution satellite imagery. This paper
presents an efficient feature extraction method that considers the spatial and cross-band …

Bodies of water, particularly swimming pools, are land covers of high interest. Their
maintenance involves energy costs that authorities must take into consideration. In addition …

The traditional remote sensing image segmentation method uses the same set of
parameters for the entire image. However, due to objects' scale‐dependent nature, the …

摘要针对彩色图像分割问题, 研究Markov 随机场(Markov random fields, MRF)
模型内迭代条件模式(Iterative conditional mode, ICM) 方法的标记推理策略 …

This paper attempts to undertake the study satellite image classification by using six
distance metric as Bray Curtis Distance Method, Canberra Distance Method, Euclidean …