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IEEE Transactions on Geoscience and Remote Sensing

Issue 12  Part 2 • Date Dec. 2003

 This issue contains several parts.Go to:  Part 1 

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Displaying Results 1 - 7 of 7
  • Retrieval of oceanic chlorophyll concentration using support vector machines

    Publication Year: 2003, Page(s):2947 - 2951
    Cited by:  Papers (42)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB) | HTML iconHTML

    This letter investigates the possibility of using a new universal approximator-support vector machines (SVMs)-as the nonlinear transfer function between oceanic chlorophyll concentration and marine reflectance. The SeaBAM dataset is used to evaluate the proposed approach. Experimental results show that the SVM performs as well as the optimal multilayer perceptron (MLP) and can be a promising alter... View full abstract»

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  • Recovering radar shadow to improve interferometric phase unwrapping and DEM reconstruction

    Publication Year: 2003, Page(s):2959 - 2962
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (716 KB) | HTML iconHTML

    This letter presents a new approach to actively use radar shadow in order to unwrap and geocode objects that cannot be reconstructed by synthetic aperture radar interferometry alone. This new algorithm may significantly improve phase unwrapping and digital elevation model reconstruction in mountainous topography or in urban areas. The algorithm is explained and examples are given with data from th... View full abstract»

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  • Clustered DPCM for the lossless compression of hyperspectral images

    Publication Year: 2003, Page(s):2943 - 2946
    Cited by:  Papers (50)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (225 KB) | HTML iconHTML

    A clustered differential pulse code modulation lossless compression method for hyperspectral images is presented. The spectra of a hyperspectral image is clustered, and an optimized predictor is calculated for each cluster. Prediction is performed using a linear predictor. After prediction, the difference between the predicted and original values is computed. The difference is entropy-coded using ... View full abstract»

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  • Decision boundaries using Bayes factors: the case of cloud masks

    Publication Year: 2003, Page(s):2952 - 2958
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1223 KB) | HTML iconHTML

    We assess the use of an approximation to the Bayes factor for objectively assessing spatial segmentation models. The Bayes factor allows us to automatically determine thresholds, in multidimensional feature space, for such objectives as cloud mask definition. We compare our results with a cloud map currently provided as a data product. View full abstract»

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  • Spatio-temporal deconvolution of NDVI image sequences using independent component analysis

    Publication Year: 2003, Page(s):2938 - 2942
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (445 KB) | HTML iconHTML

    Independent component analysis (ICA) provides a powerful new method to spatially and temporally deconvolve image sequences into components that capture variability arising from independent physical sources. To do this, ICA uses information contained in higher order cross-moments of multivariate data. We use remotely sensed time series of the normalized difference vegetation index to illustrate the... View full abstract»

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  • Author index

    Publication Year: 2003, Page(s):2963 - 2975
    Request permission for commercial reuse | PDF file iconPDF (280 KB)
    Freely Available from IEEE
  • Subject index

    Publication Year: 2003, Page(s):2975 - 2999
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    Freely Available from IEEE

Aims & Scope

 

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.

 

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Meet Our Editors

Editor-in-Chief
Antonio J. Plaza
University of Extremadura