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Object-based hyperspectral image classification (OBHIC) converts the basic unit from ‘pixel’ to ‘object’ by image segmentation, in order to take advantage of the spatial distribution law of geographical substances, as well as increase classification performances. However, it involves the problem of scale selection, i.e. the segmentation parameters are set manually by empirical values. In this paper,...
Optical distortion is a kind of ubiquitous problem in optical system, although it has little effect on the clarity of the image, it has a bad effect on the precision of the imaging geometrical position, especially in the optical system with large field of view, and it will be increased largely with increasing the view field. In the LASIS(Large Aperture Static Imaging Spectrometer) system, if the optical...
Multispectral image compression which are based on the one-, two- and three-dimensional wavelet transforms has been existed in many papers. Existing image compression algorithms have proved to be very efficient in compressing these kinds of images. We adopted the principal component analysis,clustering and spectral angle cosine to classify and compress in spectral dimension.In this article, we present...
The data acquired by the spatially modulated imaging Fourier Transform spectrometer(SMIFTS) contain one dimensional spatial information, one dimensional interference information, and one dimensional push broom scanning spatial information. This kind of spectrometer theoretically requires that flying platform keeps uniform moving velocity and steady attitude in the imaging mode, as well as the imaging...
Classification algorithm is an important technique that has been studied for many years in hyperspectral image processing along with the development of hyperspectral remote sensing. Traditional classification algorithms mostly focus on the differences of spectral dimension but neglecting spatial structures of geography objects. By improving the ECHO algorithm, we put forward a classification algorithm...
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