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Remote sensing image classification, as an important direction of remote sensing image processing and application, has been widely studied. However, in the process of existing classification algorithm...
A kernel-based method for very high spatial resolution remote sensing image classification is proposed in this article. The new kernel method is based on spectral-spatial information and structure inf...
Image classification will still be a long way in the future, although it has gone almost half a century. In fact, researchers have gained many fruits in the image classification domain, but there is s...
The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the rem...
Compared with the traditional remote sensing image processing system based on pixel, there are some unique characters in the object-based classification: various operations on objects; variety of obje...
In this paper a novel supervised classification algorithm (AIBN) for remote sensing image classification based on artificial immune B-Cell network is proposed. Even though some effective classifiers h...
In this paper, some initial investigations are conducted to apply Artificial immune system(AIS) for classification of remotely sensed images. As a novel branch of computational intelligence, AIS has...
A Neural Network is treated as a data transformer when used for mapping purposes. The objective in this case, is to associate the elements in one set of data with the elements in a second set. Accord...
Image processing has been one of the efficient technologies for GIS data requisition. Support Vector Machines (SVMs) have peculiar advantages in handling problems with small sample sizes, nonlinearity...
Networks play the role of a high-level language, as is seen in Artificial Intelligence and statistics, because networks are used to build complex model from simple components. These years, Bayesian Ne...

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