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Texture quantization is a useful method for extraction spatial relevance between pixels which is used in humane brain for image interpreting. Beside the spectral bands textural features of high spatia...
This work proposes a framework for increasing the degree of automation of low-resolution satellite images interpretation procedures.Basically, the method starts with an image segmentation which, accor...
In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A tw...
In this paper, we propose a novel approach to reason with spatial proximity. The approach is based on contextual information and uses a neurofuzzy classifier to handle the uncertainty aspect of proxim...
With the requirements for high performance results in the today’s mobile, global, highly competitive, and technology-based business world, business professionals have to get supported by convenient mo...
The Xplorah Planning Support Systems has been under development since 2000 to provide the Puerto Rico Planning Board with an advanced capacity to forecast land-use changes as the result of various sce...
This article presents a method to assess the accuracy of vegetation maps for which contextual information has been included in the classification process. It is well known that land use classification...

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