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A novel remote-sensing image segmentation method is presented in the framework of Normalized Cuts to solve the perceptual grouping problem by means of graph partitioning. In this method, texton is applied to obtain color features and texture features of remote-sensing image. Clustering of the original color values and the filter responses of the images is performed to find texton. The filter bank...
In conventional researches, satisfying results cannot be achieved when directly applying Mean Shift segmentation onto high spatial resolution (HR) remote sensing image. The proposed method addresses this problem and extents Mean Shift clustering algorithm into high-dimensional feature space by extracting texture and shape descriptor. The dilemma in image segmentation is that the algorithms with good...
In the paper, we adopted an object-oriented image analysis method to detect and classify road vehicles from airborne color digital orthoimagery at a ground pixel resolution of 20 cm. Firstly; a vector-generated road mask was used to constrain detection and classification of vehicles to road region. Secondly, image segmentation and edge detection algorithms were performed to separate vehicles from...
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