Search Results - "Tilton, J.C."

Learning bayesian classifiers for scene classification with a visual grammar by Aksoy, S., Koperski, K., Tusk, C., Marchisio, G., Tilton, J.C.

“…A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of…”
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Foreword special issue on analysis of multitemporal remote sensing images by Bruzzone, L., Smits, P.C., Tilton, J.C.

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Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data by Richards, J.A., Crawford, M.M., Kerkes, J.P., Serpico, S.B., Tilton, J.C.

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Interactive analysis of hierarchical image segmentation by Tilton, J.C., Lawrence, W.T.

“…At IGARSS'98 the authors described segmentation approach based on region growing and spectral clustering. This approach produces a hierarchical set of image…”
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Refining image segmentation by integration of edge and region data by Le Moigne, J., Tilton, J.C.

“…A basic requirement for understanding the dynamics of the Earth's major ecosystems is accurate quantitative information about the distribution and areal extent…”
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Model-based vector quantization with application to remotely sensed image data by Manohar, M., Tilton, J.C.

“…Model-based vector quantization (MVQ) is introduced here as a variant of vector quantization (VQ). MVQ has the asymmetrical computational properties of…”
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Image segmentation by region growing and spectral clustering with a natural convergence criterion by Tilton, J.C.

“…The image segmentation approach described is a new hybrid of region growing and spectral clustering. This approach produces a specified number of hierarchical…”
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Analysis of hierarchically related image segmentations by Tilton, J.C.

“…Describes an approach for producing high quality hierarchically related image segmentations and some first steps towards exploiting the information content of…”
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Progressive vector quantization on a massively parallel SIMD machine with application to multispectral image data by Manohar, M., Tilton, J.C.

“…This correspondence discusses a progressive vector quantization (VQ) compression approach, which decomposes image data into a number of levels using…”
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Preserving radiometric resolution in remotely sensed data with lossy compression by Tilton, J.C., Manohar, M.

“…Recent advances in imaging technology make it possible to obtain remotely sensed imagery data of the Earth at high spatial, spectral, and radiometric…”
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Applications Of Ths Simd Mpp To Processing And Analyzing Remotely-sensed Imagery by Tilton, J.C.

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Image Segmentation By Iterative Parallel Region Growing And Splitting by Tilton, J.C.

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Image segmentation by iterative parallel region growing with applications to data compression and image analysis by Tilton, J.C.

“…An iterative parallel segmentation algorithm, which avoids the problem of dependency on the order in which portions of the image are processed by performing…”
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The Integraton of Graph-Based Knowledge Discovery with Image Segmentation Hierarchies for Data Analysis, Data Mining and Knowledge Discovery by Tilton, J.C., Cook, D.J., Ketkar, N.

“…Currently available pixel-based image analysis techniques do not effectively extract the information content from the increasingly available high spatial…”
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Enhancement of the MODIS Snow and Ice Product Suite Utilizing Image Segmentation by Tilton, J.C., Hall, D.K., Riggs, G.A.

“…A problem has been noticed with the current MODIS Snow and Ice Product in that fringes of certain snow fields are labeled as "cloud" whereas close inspection…”
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Automated selection of results in hierarchical segmentations of remotely sensed hyperspectral images by Plaza, A.J., Tilton, J.C.

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CRUSH: a comparative lossless compression package by Tilton, J.C., Seiler, E.

“…The NASA Goddard Space Flight Center has developed a lossless compression package called "CRUSH" for facilitating the comparison of several lossless…”
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Multiresolution manifold learning for classification of hyperspectral data by Wonkook Kim, Yangchi Chen, Crawford, M.M., Tilton, J.C., Ghosh, J.

“…Nonlinear manifold learning algorithms assume that the original high dimensional data actually lie on a low dimensional manifold defined by local geometric…”
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Hierarchical Data Compression: Integrated Browse, Moderate Loss, And Lossless Levels Of Data Compression by Tilton, J.C., Manohar, M.

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Image information mining utilizing hierarchical segmentation by Tilton, J.C., Marchisio, G., Koperski, K., Datcu, M.

“…The hierarchical segmentation (HSEG) algorithm is an approach for producing high quality, hierarchically related image segmentations. The VisiMine image…”
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